M.Sc Data Science at PSPH

Manipal

Turn Data into Insight That Shapes Decisions

The Master of Science in Data Science at Prasanna School of Public Health, MAHE, is a two-year postgraduate program spread across four semesters. You gain rigorous training in statistics, computing, and data reasoning applied to computational and biological sciences.

Through structured coursework, guided projects, and a final-semester internship, you work with real datasets and prepare for professional roles or advanced academic study in data-focused fields.

Program Highlights

Balanced Academic Structure: The curriculum combines statistical theory, computational methods, and applied analysis across structured semesters.

Programming-Focused Training: You work extensively with R, Python, and SAS for statistical computing and data analysis tasks.

Advanced Analytical Methods: You study machine learning, Bayesian analysis, predictive modelling, and big data techniques used in professional practice.

Interdisciplinary Applications: Course content applies data science methods to healthcare, finance, social sciences, and technology domains.

Capstone and Internship Pathway: The final semester brings together research work and industry exposure through a compulsory project and internship.

Lab Work

Use a dedicated computer laboratory with 60 functional systems that support statistical computing, modelling, and data visualisation tasks.

Industry Projects

Complete a capstone project during the final semester, working on applied data problems drawn from industry or academic contexts.

Internships

A compulsory internship forms part of the fourth semester, offering experience with data-driven projects in technology, healthcare, finance, e-commerce, or research organisations.

Lab Work

Use a dedicated computer laboratory with 60 functional systems that support statistical computing, modelling, and data visualisation tasks.

Lab Work

Use a dedicated computer laboratory with 60 functional systems that support statistical computing, modelling, and data visualisation tasks.

Program Eligibility

Qualification

You must successfully complete BCA, B.Sc. (Statistics/Mathematics/Computer Science/Information Technology), BE, BTech, or any other graduation or equivalent from a recognized university with 60% aggregate marks and a minimum of two in Mathematics/Statistics. You must also complete all academic requirements (classes, examinations, and other assessments) of your undergraduate programme on or before 31 July of the year of admission.

You must appear for the Manipal Entrance Test (MET), get the required cutoff and appear for PI.

Scholarships

Manipal Academy of Higher Education (MAHE) Manipal awards scholarship for its Under Graduate (UG) and Post Graduate (PG) students under the following categories

Degree / Marks/ Board

UG: 80% aggregate in 12th (as per admission criteria) PG: 70% aggregate in Undergraduate (UG)

Entrance Test

As applicable to the respective program

Scholarship on program fee

10% fee waiver

Scholarship on hostel fee

Not Applicable

Room type

Not Applicable

Monthly Stipend

Not Applicable

Continuation of Scholarship

The award of Fee Waiver for the subsequent years will be the same as given at the time of admission in the first year. Scholarship will be extended in the subsequent year only to those students who have cleared all subjects in the University Examinations of previous year before the due date for payment of annual program fee. Students who are promoted to next year with failures (F) / Incomplete (I) / Detention (DT) grades, will NOT be eligible for fee waiver for that academic year. Fee Waiver will be forfeited in the instances of irregularity in attendance, proven charges of indiscipline, bringing disrepute to the Department / Institution / University etc.

Withdrawal Policy

In case the candidate leaves the course before the course completion (for any reason), he / she MUST reimburse the total program fee (as per Prospectus 2025) for the years of scholarship utilized, back to MAHE Manipal.

To Know More

Program Highlights

Balanced Academic Structure: The curriculum combines statistical theory, computational methods, and applied analysis across structured semesters.

Programming-Focused Training: You work extensively with R, Python, and SAS for statistical computing and data analysis tasks.

Advanced Analytical Methods: You study machine learning, Bayesian analysis, predictive modelling, and big data techniques used in professional practice.

Interdisciplinary Applications: Course content applies data science methods to healthcare, finance, social sciences, and technology domains.

Capstone and Internship Pathway: The final semester brings together research work and industry exposure through a compulsory project and internship.

Lab Work

Use a dedicated computer laboratory with 60 functional systems that support statistical computing, modelling, and data visualisation tasks.

Industry Projects

Complete a capstone project during the final semester, working on applied data problems drawn from industry or academic contexts.

Internships

A compulsory internship forms part of the fourth semester, offering experience with data-driven projects in technology, healthcare, finance, e-commerce, or research organisations.

Lab Work

Use a dedicated computer laboratory with 60 functional systems that support statistical computing, modelling, and data visualisation tasks.

Lab Work

Use a dedicated computer laboratory with 60 functional systems that support statistical computing, modelling, and data visualisation tasks.

Program Eligibility

Qualification

You must appear for the Manipal Entrance Test (MET), get the required cutoff and appear for PI.

Curriculum and Fees

Year 1
Year 2

Curriculum details will be updated shortly

Program Duration

2 years

Total Program Fee

General:

INR 4,64,000

Total Program Fee

NRI/Foreign:

USD 7,300

Scholarships

Manipal Academy of Higher Education (MAHE) Manipal awards scholarship for its Under Graduate (UG) and Post Graduate (PG) students under the following categories

Degree / Marks/ Board

UG: 80% aggregate in 12th (as per admission criteria) PG: 70% aggregate in Undergraduate (UG)

Entrance Test

As applicable to the respective program

Scholarship on program fee

10% fee waiver

Scholarship on hostel fee

Not Applicable

Room type

Not Applicable

Monthly Stipend

Not Applicable

Continuation of Scholarship

Withdrawal Policy

To Know More

M.Sc Data Science at PSPH

Turn Data into Insight That Shapes Decisions

Program Highlights

Upon the completion of this program, you can:

Industry and Academia Connect

Qualification

2 years

INR 4,64,000

USD 7,300

Program Highlights

Industry and Academia Connect

Qualification

2 years

INR 4,64,000

USD 7,300