Manipal Academy of Higher Education

A finance-focused master’s programme that combines quantitative methods with data analytics to help you build models for risk, investment decisions, and financial forecasting. You will work with tools such as Python, R, SQL, and data visualisation techniques used in industry. Programme type: Master’s programme (MSc) Credits: Not specified in the current record Duration: Not specified in the current record Delivery format: Not specified in the current record (check programme website) Language of instruction: Not specified in the current record (check programme website) Tuition fees: Not specified in the current record Start dates: Not specified in the current record Application deadlines: Not specified in the current record Tools and skills: Python, R, SQL, data visualisation, financial modelling, risk analytics, econometrics, machine learning Programme Structure (indicative) Year/Semester 1 - Foundations of Financial Data Analytics - Quantitative Methods for Finance - Financial Modelling and Time-Series Concepts - Data Management: SQL for Analytics - Data Visualisation for Financial Insights Year/Semester 2 - Econometrics for Financial Applications - Risk Analytics and Measurement - Machine Learning for Finance - Applied Analytics Project / Case Studies Year/Semester 3 (if applicable) - Advanced Topics in FinTech and Financial Technology - Portfolio Analytics and Decision Support - Electives (choose based on track/interests) Capstone / Dissertation (if applicable) - A capstone project or dissertation applying analytics and modelling to a finance-related problem (e.g., forecasting, risk modelling, or investment research).

Academic requirements

Applicants should be eligible for admission to a Master’s degree programme after successfully completing a relevant undergraduate (UG) degree of at least three years from a recognised university, and be eligible for the award of that degree.

Note: Specific minimum GPA/grade thresholds and standardised test requirements (e.g., GRE/GMAT) are not listed in the current record. Please confirm the latest entry criteria on the programme website.

English requirements

English language test requirements (e.g., IELTS/TOEFL) are not specified in the current record. If you do not meet the university’s exemptions, you may be required to provide an accepted English proficiency test score. Please verify the required score and acceptable tests on the programme website.

Other requirements

General requirements

• Undergraduate degree: minimum three years from a recognised university.
• Eligibility for the award of the degree.

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Make sure you meet all requirements

Before applying, review the latest admission criteria, document checklist, and deadlines on the official programme website.

"Highlights"

Post-study work rights depend on the country where you graduate and the immigration rules in force at the time you apply. The current record does not specify a country-specific work permit policy for this programme.

• Check your eligibility: In many cases, you may be eligible to apply for a post-study work permit if you complete an eligible qualification and meet immigration requirements (e.g., valid student status during study, sufficient funds, and required documentation).
• Duration: Post-study work permit duration varies by country and by the level of your qualification.
• Common conditions: You may need to apply within a set time window after graduation, demonstrate that you studied in the country, and provide proof of graduation.
• Important: Rules can change. Always confirm the latest guidance with the relevant government immigration authority and the university’s international office.

Next step: Review the official programme and university guidance for graduates, and verify the most up-to-date post-study work permit requirements for your destination country.