When the Foreign Degree Stops Midway: Why Indian Students Return Before Completing Overseas Higher Education A Case-Cum-Empirical Study of Financial, Academic, Psychological, Family and Institutional Determinants

 

When the Foreign Degree Stops Midway: Why Indian Students Return Before Completing Overseas Higher Education

A Case-Cum-Empirical Study of Financial, Academic, Psychological, Family and Institutional Determinants

Abstract

International student mobility has become an important component of India's higher-education landscape. Indian students are increasingly traveling overseas to seek better academic environments, research facilities, employment opportunities, global exposure, and professional networks. However, international mobility does not always result in successful course completion. Some students return to India before completing their programmes because of financial pressure, inadequate part-time employment, academic mismatch, psychological stress, family emergencies, visa difficulties, cultural adjustment problems and weak institutional support.

This case-cum-research paper investigates the determinants of mid-course return among Indian students pursuing higher education abroad. The paper develops its conceptual framework from thirteen factors identified in the underlying case material: financial pressure, inadequate financial planning, difficulty obtaining part-time employment, academic mismatch, incorrect course selection, language barriers, mental-health and loneliness issues, cultural adjustment, health and family emergencies, visa/immigration difficulties, weak institutional support, better opportunities in India and family/social responsibilities. The original material appropriately cautions that the frequently reported 81% figure refers to intention to return after education, not actual mid-course return.

For empirical illustration, a simulated survey dataset of 300 Indian international students is analysed using descriptive statistics, reliability analysis, Pearson correlation, multiple regression and chi-square analysis. The illustrative regression model indicates that financial pressure, perceived opportunities in India, psychological stress, part-time employment difficulty, inadequate institutional support and family responsibilities are among the strongest predictors of mid-course return pressure. The model explains approximately 63.2% of the variance in the dependent variable. These findings are illustrative and should not be interpreted as evidence from an actual field survey.

The paper argues that mid-course return should not automatically be interpreted as academic failure or brain drain. Return may represent forced return, planned return or strategic return. A policy shift from merely increasing outbound student mobility towards creating brain circulation, international partnerships and credible reintegration opportunities is therefore required.

Keywords: Indian students; international education; mid-course return; student mobility; brain drain; brain circulation; higher education; financial stress; academic mismatch; international students.

 

1. Introduction

International higher education has become an important dimension of India's educational and economic transformation. Indian students increasingly select universities in countries such as the United Kingdom, Canada, the United States, Australia and other European destinations. Overseas education is often associated with advanced teaching methods, research infrastructure, international exposure, professional networks and improved employment prospects.

However, the decision to study abroad is not necessarily equivalent to successful completion of an overseas programme.

A student may enter a foreign university with considerable expectations but subsequently encounter unexpected tuition and living expenses, difficulties in obtaining employment, academic pressure, loneliness, language barriers, family emergencies or immigration restrictions. The uploaded case material identifies thirteen possible causes of mid-course return and emphasises that such decisions generally involve multiple overlapping factors rather than a single cause.

A particularly important issue is the interpretation of the widely reported 81% figure. The Oxford International survey reported in 2026 indicates that 81% of surveyed Indian students intended to return to India after completing their education. It does not establish that 81% of Indian students return midway through their courses.

This distinction creates an important research question:

Why do some Indian students return before completing an overseas programme when many students initially intend to study abroad and subsequently return only after graduation?

The difference between intended post-study return and actual mid-course return has received considerably less attention in public discussion.

This study therefore focuses specifically on mid-course return.

 

2. Background of the Case

The basic case is that of an Indian student who leaves India after investing substantial financial, emotional and social resources in overseas education.

The student may initially perceive the foreign university as offering:

• better academic quality;
• advanced research infrastructure;
• international exposure;
• better employment prospects;
• professional networks;
• international recognition;
• modern teaching methods; and
• improved career mobility.

After arrival, however, the actual experience may differ from expectations.

The student may face:

1. unexpectedly high accommodation costs;
2. difficulty obtaining part-time employment;
3. academic workload greater than anticipated;
4. problems with academic writing;
5. loneliness and homesickness;
6. cultural adjustment difficulties;
7. health problems;
8. family emergencies in India;
9. visa restrictions;
10. inadequate university support;
11. inappropriate course selection;
12. inability to manage debt or tuition expenses; and
13. a new employment or entrepreneurial opportunity in India.

The case material specifically emphasises that mid-course return is normally a combination of factors rather than the consequence of one isolated problem.

Literature Review

The literature can be organized around six major themes relevant to your study: international student mobility, academic adjustment, financial pressure, psychological and sociocultural adjustment, institutional support, and return/brain circulation.

1. International student mobility. Luo (2023) shows that international student mobility has expanded into a multidisciplinary research field encompassing student decision-making, higher-education institutions, business and labour-market outcomes. The review also identifies the need to study different forms of mobility rather than treating international students as a homogeneous group.
2. Indian students' mobility decisions. Gopinath (2015) argues that Indian students' overseas mobility involves multiple transitions and tensions between controlled and emergent mobility. This supports examining the student's decision not merely as a one-time choice to leave India but as a process that can change after arrival in the host country.
3. Academic and sociocultural adjustment. Research consistently indicates that academic adjustment and social adaptation are important for international students. Westwood and Barker (1990), for example, found that peer-pairing with host-national students was associated with higher achievement and lower dropout. More recent evidence from a 2026 meta-analysis of 13 studies involving 6,233 international students found a significant positive association between social support and academic adjustment (r = .365, p < .001).
4. Psychological stress and loneliness. Brunsting et al. (2018) reviewed international-student adjustment research and identified social support, loneliness, depression, anxiety, language proficiency, acculturation and social interaction as important areas of investigation. A meta-analysis by Bender et al. (2019), synthesizing 257 effects from 76 studies, found a significant positive relationship between social support and psychological adjustment (r = .20). More recent systematic reviews similarly identify financial pressure, academic pressure, language barriers, acculturative stress, social support and visa-related stress as interconnected influences on international students' mental well-being.
5. Financial and academic pressures. The wider student-retention literature indicates that financial circumstances can affect persistence. St. John, Paulsen, and Starkey (1996) found that tuition, housing and other living costs can have direct effects on persistence decisions. Recent dropout research further suggests that financial pressure may interact with employment demands, reduced study time, academic disengagement and psychological strain rather than operating as an isolated factor.
6. Institutional and social support. Shu et al. (2020), studying 276 international students, found that support from friends and institutions was particularly related to cross-cultural adjustment, while diverse social networks and relationships with host nationals also mattered. This suggests that universities can potentially reduce avoidable withdrawal through academic advising, peer networks, counselling and stronger international-student services.
7. Return migration and brain circulation. The conventional brain-drain perspective treats international migration primarily as a loss of human capital. However, research on Indian returnees suggests that return can facilitate knowledge, managerial expertise, technology, entrepreneurship and institutional know-how. Zagade and Desai (2017) describe this movement from brain drain towards brain circulation among Indian returnee professionals. Recent Indian policy analysis similarly argues for moving from a simple "loss" perspective towards strategies that retain, circulate, leverage and reintegrate internationally mobile talent.
8. From return intention to actual return. This distinction is particularly important for the present study. The recently reported Oxford International survey found that 81% of Indian students surveyed intended to return to India after completing their education. This measures post-study intention, not mid-course withdrawal or actual return. Consequently, there is a research opportunity to investigate what happens between initial enrolment and completion, particularly when financial, academic, psychological, family and institutional pressures accumulate.

  

3. Research Problem

The popular narrative surrounding Indian students studying abroad usually focuses on:

• the number of students leaving India;
• foreign exchange expenditure;
• brain drain;
• permanent migration;
• international employability; and
• post-study immigration.

Less attention is given to students who do not complete their overseas programme.

The research problem may therefore be stated as:

What combination of financial, academic, psychological, family, immigration and institutional factors contributes to Indian students returning to India before completing overseas higher-education programmes?

 

4. Research Gap

Three gaps are identified.

4.1 Conceptual gap

Student mobility is frequently discussed as either brain drain or successful international education. Mid-course return occupies an intermediate position and requires separate analysis.

4.2 Empirical gap

The 81% figure relates to intention to return after completing education, whereas intention should not be confused with actual mid-course withdrawal.

4.3 Policy gap

Existing discussion often concentrates on attracting international students and reducing brain drain. Less attention is given to preventing avoidable mid-course withdrawal and creating mechanisms through which returnees can continue education, transfer credits, obtain employment or participate in India's research ecosystem.

 

5. Objectives of the Study

The study has the following objectives:

1. To identify the major factors responsible for Indian students returning before completing overseas higher education.
2. To examine the relative importance of financial, academic, psychological, family, immigration and institutional factors.
3. To analyse the relationship between these factors and mid-course return pressure.
4. To examine whether demographic characteristics are associated with differences in return pressure.
5. To develop an empirical model explaining mid-course return.
6. To propose policy measures for Indian and foreign universities.
7. To distinguish forced return from planned and strategic return.

 

6. Research Questions

RQ1: What are the principal factors influencing mid-course return?

RQ2: Is financial pressure significantly associated with mid-course return?

RQ3: Does academic mismatch contribute significantly to return pressure?

RQ4: Do psychological stress and loneliness influence students' return decisions?

RQ5: Does inadequate institutional support increase return pressure?

RQ6: Do attractive employment or entrepreneurial opportunities in India influence return decisions?

RQ7: Is mid-course return necessarily a form of brain drain?

 

7. Hypotheses

H1

Financial pressure has a significant positive relationship with mid-course return pressure.

H2

Difficulty obtaining part-time employment has a significant positive relationship with mid-course return pressure.

H3

Academic mismatch has a significant positive relationship with mid-course return pressure.

H4

Psychological stress and loneliness have a significant positive relationship with mid-course return pressure.

H5

Family responsibilities and emergencies have a significant positive relationship with mid-course return pressure.

H6

Inadequate institutional support has a significant positive relationship with mid-course return pressure.

H7

Perceived attractive opportunities in India have a significant positive relationship with mid-course return pressure.

H8

Visa and immigration difficulties have a significant positive relationship with mid-course return pressure.

 

8. Conceptual Framework

The proposed framework is:

Financial Factors
↓
Employment/Part-Time Work Factors
↓
Academic Factors
↓
Psychological Factors
↓
Family & Health Factors
↓
Visa/Immigration Factors
↓
Institutional Support
↓
Opportunities in India
↓

MID-COURSE RETURN PRESSURE

The framework assumes that the decision is multidimensional.

 

9. Research Methodology

9.1 Research design

The study adopts a case-cum-empirical research design.

The qualitative component develops the case and theoretical framework, while the quantitative component illustrates how the determinants can be tested statistically.

9.2 Population

The target population is:

Indian students who have studied or are studying in overseas higher-education institutions and who have experienced, considered, or observed the possibility of returning before completing their programme.

9.3 Sample size

For the present manuscript, a simulated sample of 300 respondents is used for statistical illustration.

Important publication note: The 300 observations are illustrative/simulated and must not be described as an actual field survey in a journal submission.

9.4 Sampling

A proposed actual study may use purposive and snowball sampling because students who have returned mid-course constitute a relatively difficult-to-identify population.

9.5 Data collection instrument

A structured questionnaire using a five-point Likert scale may be used:

1 = Strongly Disagree
2 = Disagree
3 = Neutral
4 = Agree
5 = Strongly Agree

9.6 Statistical tools

The proposed analysis uses:

• frequency;
• percentage;
• mean;
• standard deviation;
• Cronbach's alpha;
• Pearson correlation;
• multiple regression;
• chi-square test; and
• hypothesis testing at 5% significance.

 

10. Operationalisation of Variables

Variable	Measurement concept
Financial pressure	Difficulty managing tuition, accommodation and living costs
Part-time employment difficulty	Difficulty finding sufficient legal employment
Academic mismatch	Difference between expected and actual academic demands
Course mismatch	Course not aligned with career expectations
Psychological stress	Stress, loneliness, homesickness and emotional pressure
Cultural adjustment	Difficulty adapting to foreign social/cultural environment
Family responsibility	Family emergency or responsibility in India
Health	Personal or family health-related disruption
Visa difficulty	Immigration, visa or work restrictions
Institutional support	Adequacy of university academic and personal support
India opportunity	Availability of attractive career/business opportunities in India
Return pressure	Degree to which respondent considered or experienced mid-course return

 

11. Illustrative Survey Profile

The following demographic distribution is created for the illustrative n = 300 dataset.

Characteristic	Category	n	%
Gender	Male	162	54.0
	Female	135	45.0
	Other	3	1.0
Study level	Undergraduate	54	18.0
	Postgraduate	201	67.0
	Doctoral	45	15.0
Age	18–21	65	21.7
	22–25	156	52.0
	26–30	58	19.3
	31+	21	7.0
Destination	UK	89	29.7
	Canada	84	28.0
	USA	54	18.0
	Australia/New Zealand	42	14.0
	Europe/Other	31	10.3

The profile is intentionally constructed to resemble a plausible international-student sample and is not evidence of the actual population distribution.

 

12. Descriptive Statistical Analysis

Table 1: Mean and Standard Deviation of Major Factors

Factor	Mean	SD	Rank
Health/family-related disruption	3.09	0.88	1
Visa/immigration difficulty	3.08	0.87	2
Psychological stress/loneliness	3.06	0.89	3
Cultural adjustment	2.99	0.92	4
Financial pressure	2.98	0.84	5
Part-time employment difficulty	2.97	0.88	6
Attractive opportunities in India	3.04	0.88	—
Academic mismatch	2.95	0.88	7
Course mismatch	2.92	0.86	8
Institutional support problems	2.92	0.88	9
Family responsibility	2.90	0.82	10

The descriptive results suggest that the illustrative respondents experienced multiple sources of pressure. The relatively high scores for health/family disruption, visa difficulty and psychological stress indicate that return cannot be understood purely as an economic decision.

 

13. Reliability Analysis

For journal research, the questionnaire should ideally contain multiple items under each construct rather than a single question.

An illustrative pilot reliability analysis is proposed:

Construct	Illustrative Cronbach's Alpha	Interpretation
Financial pressure	0.84	Good
Academic factors	0.81	Good
Psychological factors	0.86	Good
Family/social factors	0.79	Acceptable
Institutional factors	0.83	Good
Return-pressure scale	0.88	Good

An alpha above approximately 0.70 is commonly considered acceptable for exploratory social-science research.

Important: These coefficients are illustrative and must be recalculated from actual questionnaire responses before journal submission.

 

14. Pearson Correlation Analysis

Table 2: Correlation with Mid-Course Return Pressure

Predictor	Pearson r	Interpretation
Financial pressure	0.370	Moderate positive
Part-time employment difficulty	0.330	Moderate positive
Academic mismatch	0.252	Positive
Course mismatch	0.216	Positive
Psychological stress	0.376	Moderate positive
Cultural adjustment	0.139	Weak positive
Family responsibility	0.310	Moderate positive
Health disruption	0.091	Weak positive
Visa difficulty	0.051	Very weak positive
Institutional support problems	0.302	Moderate positive
Attractive opportunities in India	0.221	Positive

At the exploratory level, the strongest bivariate relationships are observed for:

1. psychological stress;
2. financial pressure;
3. part-time employment difficulty;
4. family responsibility; and
5. institutional support problems.

This suggests that the decision to return is not adequately explained by tuition cost alone.

 

15. Multiple Regression Analysis

The following model is proposed:

[
MCR = \beta_0+\beta_1FP+\beta_2PT+\beta_3AM+\beta_4CM+\beta_5PS+\beta_6CA+\beta_7FR+\beta_8HD+\beta_9VD+\beta_{10IS}+\beta_{11IO}+\epsilon
]

Where:

• MCR = Mid-course return pressure
• FP = Financial pressure
• PT = Part-time employment difficulty
• AM = Academic mismatch
• CM = Course mismatch
• PS = Psychological stress
• CA = Cultural adjustment
• FR = Family responsibility
• HD = Health disruption
• VD = Visa difficulty
• IS = Institutional support problems
• IO = Attractive opportunities in India

Table 3: Illustrative Regression Results

Predictor	Standardised β	p-value	Result
Financial pressure	0.340	<.001	Significant
Part-time employment difficulty	0.266	<.001	Significant
Academic mismatch	0.189	<.001	Significant
Course mismatch	0.157	<.001	Significant
Psychological stress	0.290	<.001	Significant
Cultural adjustment	0.033	.373	Not significant
Family responsibility	0.214	<.001	Significant
Health disruption	0.007	.851	Not significant
Visa difficulty	0.049	.177	Not significant
Institutional support problems	0.233	<.001	Significant
Attractive opportunities in India	0.376	<.001	Significant

R² = 0.632
Adjusted R² = 0.617

Interpretation

The illustrative model explains approximately 63.2% of the variation in mid-course return pressure.

The strongest standardized predictors are:

1. attractive opportunities in India (β = .376);
2. financial pressure (β = .340);
3. psychological stress (β = .290);
4. part-time employment difficulty (β = .266);
5. institutional support problems (β = .233);
6. family responsibility (β = .214).

The result creates an important theoretical insight:

Indian students do not necessarily return because foreign education is academically inferior; they may return because the total opportunity cost of remaining abroad becomes greater than the perceived benefits of completing the programme.

 

16. Hypothesis Testing

Hypothesis	Result
H1 Financial pressure → return pressure	Supported
H2 Part-time employment difficulty → return pressure	Supported
H3 Academic mismatch → return pressure	Supported
H4 Psychological stress → return pressure	Supported
H5 Family responsibility → return pressure	Supported
H6 Institutional support problems → return pressure	Supported
H7 Attractive opportunities in India → return pressure	Supported
H8 Visa difficulty → return pressure	Not supported in illustrative regression

The failure to find a significant visa effect in the illustrative model does not mean visas are unimportant. It means that, after controlling for the other variables, visa difficulty did not make an independent statistically significant contribution in this simulated dataset.

 

17. Chi-Square Analysis

To demonstrate categorical analysis, return pressure may be classified into:

• Low;
• Moderate; and
• High.

A chi-square test can then examine whether return-pressure category differs significantly according to demographic characteristics.

For example, the illustrative gender analysis produced:

[
\chi^2(2)=3.692,\quad p=.449
]

Since p > .05, there is no statistically significant association between gender and return-pressure category in this illustrative sample.

This indicates that mid-course return should not automatically be treated as a gender-specific phenomenon.

A similar procedure should be performed using actual data for:

• study level;
• destination country;
• funding source;
• family income;
• age;
• course type; and
• previous international experience.

 

18. Case Analysis: A Student Who Returns Midway

Consider Aarav, a hypothetical 24-year-old Indian postgraduate student who travels to the United Kingdom for a one-year management programme.

Before leaving India, Aarav estimates:

• tuition fees;
• accommodation;
• food;
• transport; and
• expected part-time earnings.

After arrival, actual accommodation expenses are considerably higher than expected. He is unable to obtain sufficient part-time work. At the same time, the course demands substantial independent academic writing and research.

Aarav begins experiencing:

• academic stress;
• financial anxiety;
• loneliness;
• difficulty managing work and study; and
• concern about his family's financial burden.

A parent in India subsequently faces a family emergency.

Aarav now faces three alternatives:

Alternative A: Borrow additional money and continue.

Alternative B: Request academic leave or transfer.

Alternative C: Return to India and seek employment.

The decision to return is therefore not attributable to one variable.

It represents the interaction:

Financial stress + academic mismatch + psychological stress + family emergency + opportunity cost

This case demonstrates why a multidimensional statistical model is preferable to a single-factor explanation.

 

19. From Brain Drain to Brain Circulation

The return of students should not automatically be labelled brain drain.

Three forms of return may be distinguished:

Type	Meaning	Likely consequence
Forced return	Return due to finance, visa, health or family crisis	Potential educational loss
Planned return	Return after completing education	Knowledge transfer
Strategic return	Return because India offers career/business opportunities	Brain circulation

The distinction is important.

The Oxford International findings indicate that 81% of surveyed Indian students intended to return to India after completing their education, but this is an intention measure, not an observed return rate.

A recent research study of Indian researchers also illustrates the importance of international mobility: internationally mobile researchers can maintain stronger international collaborations, and returnees may act as bridges between Indian and global research networks.

Thus, the policy objective should not simply be:

"Stop Indian students from going abroad."

It should be:

"Make international mobility a two-way knowledge and talent circulation system."

 

20. Why India's Research Ecosystem Matters

The mid-course-return problem is also connected indirectly to India's domestic higher-education environment.

The EY-Parthenon analysis reports that India's R&D expenditure is approximately 0.65% of GDP, and identifies fragmentation, inadequate industry collaboration and infrastructure constraints as important research-system challenges. It also reports India as fourth globally in publication volume while highlighting weaker impact indicators such as citations and H-index.

The implication is not that Indian higher education lacks talent.

Rather, India has a research ecosystem problem involving:

• research funding;
• infrastructure;
• research incentives;
• doctoral training;
• industry collaboration;
• research administration;
• international collaboration; and
• institutional inequality.

The British Council's analysis of Indian higher education has also identified challenges surrounding teaching quality, faculty capacity and international collaboration.

Therefore, students returning from abroad should not simply be viewed as people who "failed overseas."

They may represent a potentially valuable pool of:

• internationally trained graduates;
• researchers;
• entrepreneurs;
• teachers;
• managers;
• professionals; and
• global-network holders.

 

21. Policy Recommendations

21.1 For Indian universities

1. Create Returnee Academic Fellowships

Universities should create one- to three-year fellowships for Indian students returning from foreign universities.

2. Establish credit-transfer mechanisms

A student who returns for legitimate reasons should not automatically lose all academic progress.

3. Develop international research cells

Institutions should help returnees convert overseas exposure into:

• joint research;
• publications;
• patents;
• consulting;
• teaching innovation; and
• industry projects.

4. Improve research infrastructure

Laboratories, databases, statistical software and research-support systems should be strengthened.

5. Reduce administrative burden

Research-active faculty should receive dedicated research time.

 

22. Recommendations for Foreign Universities

Foreign universities can reduce avoidable mid-course withdrawal by providing:

• transparent cost information;
• realistic employment information;
• academic writing support;
• counselling;
• international-student mentoring;
• emergency assistance;
• family emergency procedures;
• flexible leave;
• credit-transfer options; and
• better monitoring of education agents.

International collaboration is increasingly moving in both directions, with foreign universities also establishing campuses and partnerships in India. Recent developments demonstrate the possibility of bringing international academic opportunities closer to Indian students rather than requiring every student to leave India.

 

23. Recommendations for Students

Students should undertake a pre-departure risk assessment covering:

Area	Question
Finance	Can the student survive without part-time employment?
Academic	Is the course compatible with previous education?
Employment	What are the actual legal work restrictions?
Health	Is health insurance adequate?
Family	What happens if a family emergency occurs?
Accommodation	Is the total annual cost affordable?
University	What international-student support is available?
Visa	What are the consequences of non-compliance?
Career	Does the course produce the expected career outcome?
Return plan	What happens if the student must return early?

 

24. Proposed Mid-Course Return Risk Index

A practical contribution of this study is the development of a Mid-Course Return Risk Index (MCRRI).

The index can be calculated as:

[
MCRRI=\frac{\sum X_i}{N}
]

where:

• (X_i) = score for each return-risk factor;
• (N) = number of risk indicators.

Suggested interpretation

Score	Risk level
1.00–2.00	Low
2.01–3.00	Moderate
3.01–4.00	High
4.01–5.00	Very high

Universities could administer the index during:

• admission;
• orientation;
• first semester;
• mid-year review; and
• pre-discontinuation counselling.

This converts the study from a descriptive exercise into a potential early-warning management system.

 

25. Managerial and Academic Implications

The study has implications for five stakeholders.

Students

Better decision-making before leaving India.

Parents

More realistic financial and emotional planning.

Foreign universities

Improved international-student retention.

Indian universities

Creation of returnee pathways and international academic networks.

Policymakers

Movement from brain-drain prevention to brain-circulation strategy.

 

26. Theoretical Contribution

The study proposes that mid-course return is best understood through an Opportunity–Pressure–Support Model.

Opportunity

What does the student expect to gain abroad?

Pressure

What unexpected financial, academic, psychological, family or immigration pressures emerge?

Support

What institutional and family mechanisms exist to help the student?

The decision can therefore be conceptualised as:

[
Return\ Decision=f(Expected\ Opportunity,\ Experienced\ Pressure,\ Available\ Support)
]

When experienced pressure exceeds perceived opportunity and available support is inadequate, the probability of return increases.

 

27. Conclusion

Indian students going abroad for higher education should not be viewed simply through the binary concepts of "brain drain" and "successful migration."

The more complex phenomenon is mid-course return.

The available 81% survey figure must be interpreted correctly: it refers to students' intention to return to India after completing their education, not to an observed 81% mid-course return rate.
The present illustrative analysis of 300 observations suggests that financial pressure, psychological stress, employment difficulty, family responsibility, inadequate institutional support and attractive opportunities in India can be important determinants of return pressure.

The central finding is therefore:

Mid-course return is not necessarily a failure of international education; it is often the outcome of an imbalance between expected opportunity, experienced pressure and available support.

India's policy objective should consequently move beyond preventing students from going abroad.

The objective should be to create an ecosystem in which students can:

go abroad → acquire knowledge → build networks → return or collaborate → transfer knowledge → contribute to India.

This is the essence of brain circulation.

India's research challenge is especially relevant because international exposure can strengthen research networks, but the domestic ecosystem must provide sufficient infrastructure, funding, institutional support and career opportunities for returnees. India's R&D expenditure remains relatively low at around 0.65% of GDP according to the EY-Parthenon analysis, while the country has substantial research output but continuing challenges in research impact and collaboration.

The future of Indian higher education should therefore not be measured only by how many students India sends abroad, but also by how effectively India attracts, retains, reconnects with and benefits from globally trained talent.

 

28. Limitations of the Study

1. The quantitative dataset used in this manuscript is illustrative/simulated.
2. It cannot be interpreted as evidence of actual behaviour among 300 Indian students.
3. The proposed sample is not nationally representative.
4. Students from different countries may experience substantially different visa and employment environments.
5. Mid-course return may involve multiple simultaneous causes.
6. Intention to return cannot be treated as actual return behaviour.
7. Self-reported responses in an actual study may contain recall and social-desirability bias.

 

29. Scope for Future Research

Future researchers should collect primary data from at least 500–1,000 Indian students across major destination countries.

Longitudinal research should follow students from:

pre-departure → first semester → second semester → completion/withdrawal → post-return employment.

Future studies could also compare:

• UK vs Canada;
• USA vs Australia;
• STEM vs management;
• undergraduate vs postgraduate;
• male vs female;
• scholarship vs self-funded students;
• Tier-1 vs Tier-2 Indian cities.

Structural equation modelling could subsequently test whether psychological stress mediates the relationship between financial pressure and return intention.

 

30. Teaching Notes

Case purpose

This case is suitable for:

• International Business;
• International Human Resource Management;
• Education Management;
• Strategic Management;
• Managerial Economics;
• Research Methodology;
• International Marketing;
• Public Policy; and
• Higher-Education Management.

Suggested classroom questions

1. Why do students decide to study abroad?
2. Why can an initially attractive foreign education become financially unsustainable?
3. Is mid-course return necessarily a failure?
4. How is brain drain different from brain circulation?
5. Which factor should universities address first?
6. Should Indian universities offer credit-transfer mechanisms?
7. How can statistical analysis improve understanding of student mobility?
8. Should India increase R&D spending to encourage students to return?
9. How can foreign universities reduce mid-course withdrawals?
10. What should an Indian government "Returnee Talent Policy" look like?

Suggested student activity

Ask students to construct a Mid-Course Return Risk Score for a hypothetical student using the 1–5 questionnaire.

Students should then calculate:

• mean;
• standard deviation;
• correlation;
• regression;
• risk category; and
• recommended intervention.

 

Appendix A: Survey Questionnaire

Section A: Respondent Profile

1. Gender
2. Age
3. Highest qualification
4. Current/previous overseas destination
5. Programme studied
6. Level of study
7. Source of funding
8. Approximate duration abroad

Section B: Factors Influencing Mid-Course Return

Rate each statement from:

1 = Strongly Disagree to 5 = Strongly Agree

Financial

1. The total cost of studying abroad was higher than expected.
2. Accommodation expenses created financial pressure.
3. Tuition costs became difficult to manage.

Employment

4. I found it difficult to obtain adequate part-time employment.
5. Restrictions on student employment affected my finances.
6. Expected employment opportunities were different from reality.

Academic

7. The academic workload was higher than expected.
8. The teaching/assessment system differed substantially from my expectations.
9. I experienced difficulty with academic writing/research.

Course Selection

10. The course was not completely aligned with my career objectives.
11. My expectations about the programme differed from reality.

Psychological

12. I experienced loneliness or homesickness.
13. Studying abroad created significant psychological pressure.
14. I found it difficult to develop a supportive social network.

Family

15. Family responsibilities affected my ability to continue.
16. A family emergency influenced my decision-making.

Institutional

17. The university did not provide sufficient support.
18. Academic counselling was inadequate.
19. International-student services were insufficient.

India Opportunity

20. I became aware of attractive employment opportunities in India.
21. I identified entrepreneurial opportunities in India.
22. Returning to India appeared financially more attractive.

Return Pressure

23. I seriously considered returning to India before completing my programme.
24. I considered discontinuing my overseas programme.
25. Returning to India appeared to be the most practical solution.

 

 

References

·         British Council. (2014). Understanding India: The future of higher education and opportunities for international cooperation. British Council.

·         British Council. (2020). Global demand for international higher education: Reflecting on forecasts and tracking policies. British Council.

·         British Council. (2022). The future of international tertiary education to 2037. British Council.

·         EY-Parthenon. (2024). Research ecosystem within Indian higher-education sector: Strategic pillars of reform across academic and industry research. EY India.

·         Oxford International. (2026). Student Global Mobility Index. As reported by The Economic Times.

·         Siraj, T. M., Harikrishnan, S., Vincent, M., Chowdhary, S., & Meena, C. (2025). Scientific mobility patterns of Indian researchers: Impact on career growth. arXiv.

·         Singh, P., Singh, V. K., Arora, P., & Bhattacharya, S. (2020). India's rank and global share in scientific research—How data sourced from different databases can produce varying outcomes. arXiy