MSC-DS

M.Sc. in Data Science

This Master of Science program is designed for professionals aspiring to progress in their careers. The program will equip you with the technical skills you need to build a distinctive career in Data Science. With a perfect blend of machine learning, big data analytics, and statistics, the program intends to prepare you for analytical and leadership roles in various sectors. Gain experience in machine learning application, predictive modelling, solve problems with real-world data, learn how to efficiently work in teams, develop strategic and tactical recommendations, and manage processes, work and people.

UGC-entitled degree from a NAAC A++ accredited institute

Free access to paid Coursera content

24 months
15-20 hrs/wk

USD 4400
USD 1100 each semester

Attractive scholarships till : December 15

MAHE rankings

Program benefits

Here’s what you can expect from this program

Interdisciplinary expertise

Strengthen your foundational knowledge and apply this understanding to specific problems, get versatile training in data-centric research, and build competencies to work in multiple programming environments.

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Strong academic support

Learn from a variety of activities and through high degree of communication between faculty and students.

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Self-paced
learning

Engage and learn at your own pace. Explore our extensive e-libraries, access your learning material online anytime, anywhere. Attend live and recorded lectures and talks that work for your schedule and engage in discussion on our platforms. Access study material even on low bandwidth internet on an advanced digital platform that can be used on your phone, laptop, or desktop.

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Industry-oriented curriculum

Gain real-world insights from industry-focused modules and projects. Learn from faculty who come with decades of rich industry experience and expertise and interact with mentors and faculty to understand industry specific challenges and opportunities.

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Interdisciplinary expertise

Strengthen your foundational knowledge and apply this understanding to specific problems, get versatile training in data-centric research, and build competencies to work in multiple programming environments.

Strong academic support

Learn from a variety of activities and through high degree of communication between faculty and students.

Self-paced
learning

Engage and learn at your own pace. Explore our extensive e-libraries, access your learning material online anytime, anywhere. Attend live and recorded lectures and talks that work for your schedule and engage in discussion on our platforms. Access study material even on low bandwidth internet on an advanced digital platform that can be used on your phone, laptop, or desktop.

Industry-oriented curriculum

Gain real-world insights from industry-focused modules and projects. Learn from faculty who come with decades of rich industry experience and expertise and interact with mentors and faculty to understand industry specific challenges and opportunities.

Empowering you to succeed

Learning Outcomes

Sound technical knowledge

Better job opportunities in analytical and leadership roles

Enhanced problem solving skills

Increased earning potential

Gateway to a flourishing career in Data Science
Roles you can explore

Business Analyst 

Data Scientist 

Programme Manager

Data Engineer 

Risk Analyst, and more 
Why we stand out

World-class faculty

Effective online pedagogy

Advanced digital learning platform

Designed for immersive learning

Placement assistance & career counselling

Who can apply?

10+2+3 year graduate degree in Statistics / Mathematics / Computer Science / Engineering / Technology or any other discipline with a minimum of two years of learning Mathematics or statistics from a recognized university/institution with an equivalent qualification recognized by the Association of Indian Universities (AIU).
Candidates who have completed their 10+2 or graduate level education outside India must produce a certificate of equivalence issued by the Association of Indian Universities.
Students & professionals holding NRE, PIO status, residing outside India and/or students & professionals who are not Indian citizens are considered ‘international students’ and are eligible to pursue MAHE’s online degree programs. All such students & professionals will be billed an international fee for respective degrees & may need to submit documents mentioned but not limited to CV, address proof, valid visa, PR card & passport copy as part of the application process
Work experience is desirable

What you will learn

1

Semester

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2

Semester

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3

Semester

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4

Semester

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1 Semester

Subject
Computational Mathematics
Probability and Probability Distribution
Programming with R and Python
Statistical Inference
Database Management

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2 Semester

Subject
Linear Regression Models
Categorical Data Analysis and Generalized Linear Models
Distributed Algorithms and Optimization with Hadoop and Spark
Stochastic Processes
Design and Analysis of Experiments
Mini Project

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3 Semester

Subject
Longitudinal Data Analysis
Machine Learning methods
Deep Learning and Text Mining
Bayesian Statistical Modelling
Elective 1 (Choose one): 1) Health Technology Assessment 2) Image processing and analytics
Elective 2 (Choose one): 1) Nonparametric and Nonlinear Regression Models 2) Time Series Analysis"

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4 Semester

Subject
Programming in SAS for Analytics
Applied Data Analytics
Research Methodology
Capstone Project

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Tools Covered

Easy financing options

Easy financing options in the form of loans at low interest rates and part payment facilities to enable students to secure seats seamlessly.

Attractive scholarships

Scholarships for defence personnel, meritorious student, persons with disabilities, alumni of MAHE, and alumni of degree colleges under Academy of General Education (AGE).

Scholarship category	Scholarship discount	Eligibility criteria
Defence personnel	20%	Minimum 2 years’ service in the armed forces.
Divyaang (for persons with disabilities)	20%	Candidate must submit certificate of claim as per government norms.
Merit – Indian students	10%	≥75% (aggregate) at entry level qualification from a recognised board/university.*
Merit – Foreign/ NRI students	15% / 10%	≥ 90% or ≥ 75% (aggregate) at entry level qualification from a recognised board/university for a 15% or 10% scholarship on course fee, respectively.*
MAHE / Academy of General Education alumni	15%	≥75% (aggregate) at graduation.*
Fee concession	5%	Full programme fee payment before commencement of the programme

*Continuation of scholarship in subsequent years is subject to performance in previous year (70% or 7 CGPA)

Sample certificate

MAHE’s online degrees and certificates are widely accepted by governments, corporate organizations, and higher education institutions for jobs, higher education, and future prospects.

Meet our faculty

Dr. Asha Kamath

Associate Director - PSPH; Professor & Head- Department of Data Science

Dr. Asha Kamath is the Associate Director of Prasanna School of Public Health and the Professor & Head of Department of Data Science. She is also the guide for Ph.D. scholars and postgraduate Health Science students, resource person for workshops and training programmes conducted by Department of Data Science, Internal examiner for various UG & PG courses, and is responsible for providing statistical consultations for all levels of researchers.

Dr. K Manjunatha Prasad

Professor of Mathematics

Dr. Manjunatha is a Professor of Mathematics, Department of Mathematics. He is the Coordinator of Centre for Research in Advanced Mathematics and Statistics, research guide, and is associated with projects of national importance. He is involved in organising national & international conferences, workshops, and lectures.

Dr. Vasudeva Guddattu

Assistant Professor

Dr. Vasudeva Guddattu is an Associate Professor in the Department of Data Science of the Prasanna School of Public Health at Manipal Academy of Higher Education.

Mr. Sudarsan N S Acharya

Assistant

Dr. Sudarsan is an Assistant Professor at the Manipal School of Information Sciences. He teaches Multiple Linear Regression and Logistic Regression, Applied Multivariate Analysis, Probability & Statistical Inferences, and Programming with R & Python.

Ms. Keerthana B

Assistant Professor - Senior Scale

Ms. Keerthana B is Assistant Professor – Senior Scale in Manipal School of Information Sciences, Manipal. She uploads sessional marks on the intranet and prepares annual reports of the students.

Mr. Raghudathesh G P

Assistant Professor

Mr. Raghudathesh is Assistant Professor at Manipal School of Information Sciences. He teaches IoT Security and IoT Architecture and Networking.

Dr. Prathviraj N

Assistant Professor - Senior Scale

Dr Prathviraj N is an Assistant Professor – Senior Scale at the Manipal School of Information Sciences. He teaches text analytics in healthcare and real-time operating system.

Ms. Ashma Dorothy Monteiro

Assistant Professor – Selection Grade

Dr. Ashma Dorothy Monteiro is an Assistant Professor – Selection Grade in the Department of Data Science of the Prasanna School of Public Health at Manipal Academy of Higher Education.

Dr. Nandish S

Assistant Professor - Senior Scale

Dr. Nandish is Assistant Professor – Senior Scale at the Manipal School of Information Sciences, Manipal University. He coordinates projects at Medical Imaging Research Suite (MIRS), Kasturba Medical College, Manipal University.

E-learning content and professional certifications

To ensure our students are ready for the industry, we provide each of our students with additional tools and resources. Apart from the e-learning material for the programs, we also give free access to professional certifications, regular talks by industry leaders as well as courses from leading universities across the world.

Access nearly 5000 courses and professional certificates (worth INR 28,000)

Expertise level	Domains	Courses from top universities
Beginner - Advanced	Business Essentials Strategy Marketing Finance Entrepreneurship Software Development Compurt Security & Networks Data Science Machine Learning Cloud Computing Information Security Personal Development, etc. Read more Show less

Prepare for a cloud-first world with free access to the Google Cloud Computing Foundations curriculum. MCA & BCA students can learn everything about cloud technology with concepts, hands-on labs, assessments, and a capstone project on topics such as-

Cloud infrastructure
Application development
Big data
Machine learning, and more.

We regularly organize webinars with industry experts so our students get practical insights into how things work in the real world.

Topic	Speaker	When	Who can attend
Beyond crypto: Blockchain for business	Varun Singhi Chief Operating Officer, Aquarius Exchange	December 7 7:00 pm - 8:00 pm IST	Open to enrolled students Registration link available on LMS
How fraud is shaping financial policies	Vishal Thakkar Co-Founder & CFO, MentorMyBoard	December 21 7:00 pm - 8:00 pm IST	Open to enrolled students Registration link available on LMS

MSC-DS

M.Sc. in Data Science

MAHE rankings