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The Master of Science in Data Science at Manipal Academy of Higher Education is a two-year online degree programme. It equips students with the knowledge and skills required to excel in the rapidly evolving field of data science. The online MSc in Data Science at MAHE integrates the principles of statistics, mathematics, and domain-specific areas to provide analytical skills.
The MAHE Online MSc in Data Science fee is Rs. 2,60,000 which can be paid semester-wise with Rs. 60,000 per semester. Upon completion of the programme, students will gain hands-on experience with cutting-edge tools and techniques used in the industry.
To be eligible for the MAHE Online MSc in Data Science, candidates must meet the eligibility criteria defined by the university. As per the eligibility requirements:
Candidates must have completed a 10+2+3 year bachelor’s 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 recognised university.
Candidates should have scored a minimum of 50% marks or equivalent grade in graduation.
Work experience is not mandatory, however, having the same would add greater advantages.
Admission to an Online MSc in Data Science at Manipal Academy of Higher Education is an online process. The admission process includes the submission of a duly filled and signed online admission form along with the relevant documents and the admission fee as applicable.
Thereafter, candidates would be provided with essential credentials and details to join the programme.
Candidates seeking admission to the MAHE Online MSc in Data Science programme must follow the below-mentioned steps:
Visit the official course page- https://www.onlinemanipal.com/msc-in-data-science
Meet the eligibility criteria
Click on the Apply Now option
Fill in the required details and submit
Complete the admission process by filling in an application form online
Upload the required documents
Pay the admission fee
Once the application and the admission fees are submitted by candidates, the university will contact them. It will provide them with credential details so that they can start their learning journey.
The online MSc in Data Science syllabus at Manipal Academy of Higher Education (MAHE) is structured across four semesters. The curriculum covers core subjects and electives with a capstone project. The detailed MAHE Online MSc Data Science syllabus is mentioned below:
Computational Mathematics
Probability and Probability Distribution
Programming with R and Python
Statistical Inference
Database Management
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
Longitudinal Data Analysis
Machine Learning Methods
Deep Learning and Text Mining
Bayesian Statistical Modelling
Elective 1: (Choose one) Health Technology Assessment / Image Processing and Analysis
Elective 2: (Choose one) Nonparametric and Nonlinear Regression Models / Time Series Analysis
Programming in SAS for Analytics
Applied Data Analytics
Research Methodology
Capstone Project
Students need to perform well in both Internal Assessment (IA) and End Term Examination (ETE), with 30% and 70% weightage, respectively.
A student must score a minimum of 40% in Internal Assessment to become eligible for the end-term examination. Those who score a minimum of 40% marks in the end-term examination would be declared as having passed the course.
The duration of the programme is 24 months. However, students may have the flexibility to extend their programme duration and complete it within four years.
MAHE offers various financial aid options, including scholarships, and flexible payment plans, to eligible students. Prospective students are encouraged to explore the available options and contact the admissions office for more information.
Candidates must visit the official website - https://www.onlinemanipal.com/msc-in-data-science
After successful completion of the programme, you can land a career as a Data Scientist, AI Engineer, Predictive Modeler, Data Analyst, Business Intelligence Analyst, and more.
The programme offers flexibility in scheduling, allowing students to balance their studies with personal and professional commitments.