M.Tech Computer Science & Engineering (Data Sciences) at MIT

Manipal

Turn Data into Insight, Intelligence, and Impact

The M.Tech in Computer Science and Engineering (Data Sciences) at Manipal Institute of Technology (MIT), MAHE, is a two‑year full‑time postgraduate program that prepares you for advanced roles in data‑driven problem solving.

You develop strong foundations in data analysis, visualization, predictive modelling, and analytics by integrating computer science, mathematics, statistics, and management. The curriculum also covers machine learning, artificial intelligence, and deep learning through industry‑relevant case studies, enabling effective application of data science across real‑world domains.

Program Highlights

Multidisciplinary Data Science Foundation: Our program integrates computer science, mathematics, statistics, and management concepts.

Strong Analytical Core: Training focuses on data analysis, visualisation, predictive modelling, and analytics for decision‑making.

Laboratory‑Driven Learning: Practical lab sessions help you apply theoretical concepts to real datasets and problems.

Industry‑Aligned Curriculum: Industry experts contribute to curriculum design, ensuring relevance to current professional practice.

Research and Publication Exposure: You may work on faculty‑led research projects with opportunities to present or publish in conferences and journals.

Lab Work

Work in high‑performance computing laboratories that support regular coursework, analytics experimentation, and research‑oriented projects.

Industry Project

Opportunities to work on live, industry‑sponsored projects, gaining exposure to real‑world data science challenges.

Internships

A year‑long internship component, allowing you to work on live projects within industry environments or research settings.

Lab Work

Work in high‑performance computing laboratories that support regular coursework, analytics experimentation, and research‑oriented projects.

Lab Work

Work in high‑performance computing laboratories that support regular coursework, analytics experimentation, and research‑oriented projects.

Admissions Path

Apply Online

Submit Eligibility Documents

MET/PGCUET 2027

Provisional Admission Offer

Admission Formalities

Merit List

Merit list based on MET score or PGCUET score.

Admission Criteria

Provisional Admission is offered to shortlisted candidates based on merit and vacancy.

Program Eligibility

Qualification

You must successfully complete BE/BTech in the relevant branch from a recognized university with a minimum of 50% aggregate marks.

If you have qualified GATE under the General Category you will be given weightage.

You must either appear for the Manipal Entrance Test (MET)/ PGCUET 2026 and get the required cut off.

*PGCUET scores will be considered only for:

M.Tech. in Chemical Engineering
M.Tech. in Civil Engineering (Construction Engineering & Management)
M.Tech. in Civil Engineering (Environmental Engineering)
M.Tech. in Mechanical Engineering (Thermal Sciences & Energy Systems)
M.Tech. in Electrical Engineering (Electric Vehicle Technology)
M.Tech. in Electrical Engineering (Power Electronics & Drives)

Scholarships

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

Children of MAHE Alumni
Konkani Speaking Students

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

Multidisciplinary Data Science Foundation: Our program integrates computer science, mathematics, statistics, and management concepts.

Strong Analytical Core: Training focuses on data analysis, visualisation, predictive modelling, and analytics for decision‑making.

Laboratory‑Driven Learning: Practical lab sessions help you apply theoretical concepts to real datasets and problems.

Industry‑Aligned Curriculum: Industry experts contribute to curriculum design, ensuring relevance to current professional practice.

Research and Publication Exposure: You may work on faculty‑led research projects with opportunities to present or publish in conferences and journals.

Lab Work

Work in high‑performance computing laboratories that support regular coursework, analytics experimentation, and research‑oriented projects.

Industry Project

Opportunities to work on live, industry‑sponsored projects, gaining exposure to real‑world data science challenges.

Internships

A year‑long internship component, allowing you to work on live projects within industry environments or research settings.

Lab Work

Work in high‑performance computing laboratories that support regular coursework, analytics experimentation, and research‑oriented projects.

Lab Work

Work in high‑performance computing laboratories that support regular coursework, analytics experimentation, and research‑oriented projects.

Program Details

Outcomes
Careers

Upon the completion of this program, you can:

Apply mathematical foundations and data analytics techniques to solve real‑world problems.

Design and develop data‑driven models for prediction and analysis.

Use visualisation techniques to support informed decision‑making.

Apply machine learning, artificial intelligence, and deep learning methods to varied datasets.

Build analytical and research skills suited for industry or doctoral study pathways.

Admissions Path

Apply Online

Submit Eligibility Documents

MET/PGCUET 2027

Provisional Admission Offer

Admission Formalities

Merit List

Merit list based on MET score or PGCUET score.

Admission Criteria

Provisional Admission is offered to shortlisted candidates based on merit and vacancy.

Merit List

Merit list based on MET score or PGCUET score.

Admission Criteria

Provisional Admission is offered to shortlisted candidates based on merit and vacancy.

Program Eligibility

Qualification

You must successfully complete BE/BTech in the relevant branch from a recognized university with a minimum of 50% aggregate marks.

If you have qualified GATE under the General Category you will be given weightage.

You must either appear for the Manipal Entrance Test (MET)/ PGCUET 2026 and get the required cut off.

*PGCUET scores will be considered only for:

M.Tech. in Chemical Engineering
M.Tech. in Civil Engineering (Construction Engineering & Management)
M.Tech. in Civil Engineering (Environmental Engineering)
M.Tech. in Mechanical Engineering (Thermal Sciences & Energy Systems)
M.Tech. in Electrical Engineering (Electric Vehicle Technology)
M.Tech. in Electrical Engineering (Power Electronics & Drives)

Curriculum and Fees

Year 1
Year 2

Core subjects include Mathematical Foundations for Data Science, Data Structures and Algorithms, Database Technologies, Data Analytics & Visualization, and Machine Learning, followed by Artificial Intelligence and Deep Learning. The curriculum also includes program electives, open electives, lab work, and a capstone project.

Program Duration

2 years

Total Program Fee

General:

INR 4,52,000

Total Program Fee

NRI/Foreign:

USD 7,100

Scholarships

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

Children of MAHE Alumni
Konkani Speaking Students

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

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M.Tech in Computer Science and Engineering

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M.Tech Computer Science & Engineering (Data Sciences) at MIT

Turn Data into Insight, Intelligence, and Impact

Program Highlights

Upon the completion of this program, you can:

Industry and Academia Connect

Qualification

2 years

INR 4,52,000

USD 7,100

Program Highlights

Upon the completion of this program, you can:

Industry and Academia Connect

Qualification

2 years

INR 4,52,000

USD 7,100