MSc Financial Analytics
The MSc Financial Analytics is the programme for you if you have an interest in financial markets or financial technology (FinTech) and enjoy working with data. It shows you how data science, analytics, statistics and programming tools are used in the real world for the analysis and modelling of financial and economic data.
The programme will equip students with cutting-edge quantitative and computational techniques utilised by industry leading firms. The course aims to bridge the gap between complex quantitative models and financial decision making and does so by equipping students with dual skillsets in both finance and data analysis. It can lead to exciting careers in areas such as financial data science, trading, software development, portfolio management, consulting, data analytics, risk management, business analytics and academia.
Intakes
- Sep
Application Processing Time in Days: 10
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
Employability
This programme prepares you for high-impact roles at the intersection of finance, technology and data. Graduates secure positions such as data scientist, financial engineer, software developer, portfolio analyst, risk analyst and business analyst across top consulting firms, financial institutions and FinTech businesses.
Graduate Outcomes
With strong demand in India’s financial hubs including Mumbai, Bengaluru and the GIFT City ecosystem, this programme builds the quantitative, computing and analytical expertise you need to succeed. You’ll gain real-world skills in areas such as data science, trading, portfolio management, consulting and risk, helping you prepare for both local and international opportunities.
Example Career Paths
- Data Scientist
- Financial Engineer
- Software Developer
- Portfolio Analyst
- Risk Analyst
- Business Analyst
Admission Requirement / Eligibility Criteria
- Normally a Bachelor degree awarded by a recognised Indian institution with a final average of 53%-55% or above (comparable to UK 2.2 Honours degree) or equivalent acceptable qualification in Finance, Mathematics, Economics, or another relevant quantitative subject. Science and Engineering disciplines will be considered where there is a significant mathematical component. .
English Language Requirements
- Evidence of an IELTS score of 6.0, with not less than 5.5 in any component, or an equivalent qualification. Taken within the last 2 years.
- English in the Indian Standard XII may be accepted (CBSE/CICSE/Karnataka/Maharashtra/Tamil Nadu/West Bengal boards) with a score of 70% taken within 7 years of the expected course start date.
An official Digilocker verification document will be required. Please provide your Admit Card ID number to the University.
If you have completed a degree that was taught and assessed in English within the two years prior to your first enrolment at Queen’s University Belfast – GIFT City Campus, the University may be able to accept this as evidence of your English language proficiency.
For More Information Please Contact To Our PSA Counselor.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
-
Total Tuition Fee:
1836900 INR
Average Cost of Living: 500000 INR /year
Application Fee: N/A