RiseUpp Logo
Educator Logo

Online Master of Science in Data Science - MAHE

The Online Master of Science in Data Science from Manipal Academy of Higher Education (MAHE) is designed for professionals seeking expertise in data science. This comprehensive program combines machine learning, big data analytics, statistics, and visualization techniques to prepare learners for analytical and leadership roles across industries. The curriculum emphasizes hands-on experience with real-world data, predictive modeling, and strategic problem-solving, allowing professionals to advance their careers while maintaining their current commitments.

English

Powered by

Provider Logo
Degree Course Image
  • Course Start Date:

    To Be Decided

  • Application Deadline:

    Closing Soon

  • Duration:

    24 Months

2,80,000

Overview

Manipal Academy of Higher Education's Online MSc in Data Science program is designed for professionals seeking to excel in the data science field. The program combines theoretical foundations with practical applications, preparing students for leadership roles in analytics and data-driven decision making.

Why MSc (Master of Science)?

The MSc in Data Science program offers a unique blend of academic rigor and industry relevance. Students benefit from MAHE's renowned faculty expertise, comprehensive curriculum covering cutting-edge technologies, and flexible online learning format.

What does this course have to offer?

Key Highlights

  • Industry-aligned curriculum

  • MAHE Alumni Status

  • Fully online program with campus immersion

  • Industry expert faculty

  • Real-world case studies

  • Comprehensive career support

Who is this programme for?

  • Working professionals seeking career growth

  • Graduates interested in data science careers

  • Technology professionals wanting to specialize

  • Analysts looking to upgrade skills

  • Professionals seeking flexible learning options

Minimum Eligibility

  • 10+2+3-year bachelor's degree in Statistics / Mathematics / Computer Science / Engineering / Technology or equivalent with minimum 50% aggregate marks

  • Minimum 2 years of learning Mathematics or Statistics

  • Work experience desirable

Who is the programme for?

The admission process includes online application submission, document verification, and fee payment. Academic requirements include a bachelor's degree in relevant fields with minimum 50% marks. The program follows a semester-based structure with continuous evaluation.

Important Dates

Selection process

How to apply?

Curriculum

The curriculum spans four semesters covering fundamental and advanced topics in data science. Core subjects include computational mathematics, machine learning, deep learning, and statistical analysis. The program culminates in a capstone project.

There are 4 semesters in this course

The program curriculum is structured across four semesters, covering essential aspects of data science. Students learn computational mathematics, probability distributions, programming languages, statistical inference, machine learning methods, deep learning applications, and more. The program includes practical projects and elective options in specialized areas.

Semester 1

Semester 2

Semester 3

Semester 4

Programme Length

24 months with semester-based progression

Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Instructors

Assistant Professor

Dr. Sudarsan is 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.

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 organizing national & international conferences, workshops, and lectures

Tuition Fee

Total program fee is USD 3,600, payable as USD 900 per semester. Various scholarship options and financing solutions available.

Fee Structure

Payment options

Financing options

Financial Aid

Learning Experience

The program delivers content through an advanced learning management system featuring recorded lectures, live sessions, interactive assignments, and practical projects. Students receive personalized mentoring and 24x7 support.

University Experience

Students gain access to MAHE's state-of-the-art digital resources, virtual labs, and collaborative learning tools. The program includes opportunities for networking and industry interaction.

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

University

About the University

Established in 1953, MAHE is a private deemed university located in Manipal, Karnataka, India. Originally started as India's first self-financing medical college, it has evolved into a multi-disciplinary institution recognized as an Institution of Eminence by the Government of India. The university spans across 844 acres with campuses in Manipal, Mangalore, Bangalore, Jamshedpur, and international locations in Dubai and Malaysia. MAHE offers over 300 programs across 31+ streams, including medicine, engineering, management, humanities, and sciences.

#901-950

QS world ranking

#197

QS asia rank

#14

NIRF overall rank

Affiliation & Recognition

UGC

UGC

AICTE

AICTE

NAAC

NAAC

Institution of Eminence

Institution of Eminence

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructors

Assistant Professor

Dr. Sudarsan is 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.

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 organizing national & international conferences, workshops, and lectures

Career services

MAHE provides comprehensive career development support through its dedicated placement cell. The institution facilitates student career growth through industry partnerships, recruitment drives, and career counseling services. Students benefit from extensive networking opportunities with top employers across sectors, including technology, healthcare, and management. The career services office organizes regular placement drives, industry interactions, and professional development workshops. The university's strong alumni network and industry connections help create valuable opportunities for internships and placements.

90%

Placement success rate

100+

Industry partnerships

51.03 LPA

Highest package

Top Recruiters

recruiter-0recruiter-1recruiter-2recruiter-3recruiter-4recruiter-5
Degree Course Image
  • Course Start Date:

    To Be Decided

  • Application Deadline:

    Closing Soon

  • Duration:

    24 Months

2,80,000

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.