Overview

The MSc Programme in Data Science (launched in 2019) offered at the Department of Data Science is a perfect blend of Machine Learning, Big Data Analytics, Statistics and the Biological Sciences. It aims to nurture the students with inter-disciplinary expertise through

• Strong methodological foundations in the decision sciences

• Versatile training in data-centric research

• Competency to work in multiple programming environments (R, STATA, SAS, SPSS, Python, Hadoop, Spark and SQL)

Curriculum Overview

·         Probability and Probability Distributions

·         Computational Mathematics

·         Statistical Inference

·         Linear Regression Models

·         Categorical Data Analysis and Logistic

·         Regression Models

·         Non-parametric Methods

·         Stochastic Processes

·         Design and Analysis of Experiments

·         Longitudinal Data Analysis

·         Time Series Analysis

·         Nonparametric and Nonlinear Regression Models

·         Bayesian Statistical Modelling

·         Machine Learning Methods

·         Deep Learning and Text Mining

·         Distributed Algorithms and Optimization

·         Data Management and Data Warehousing

·         Programming with R and Python

·         Programming in SAS for Analytics

·         Programming with Hadoop and Spark

·         Applied Data Analytics

·         Certification in Research Methodology

Duration

Two-year full-time programme with modular-based curriculum framework.

Eligibility Criteria

Graduates with the following qualifications (with a minimum of 60% of marks or equivalent grade) from UGC Recognized Universities may apply for MSc (Data Science) programme.

·         BSc. Statistics/Mathematics/Computer Science

·         BE/B. Tech/BCA

·         Any other Graduation with a minimum of two years of learning of Mathematics or Statistics

·         Programming knowledge is a pre-requisite for admissions to this programme

Selection Criteria

Selection of eligible candidates will be based on the merit of rank obtained in the entrance examination and/or personal interview. In the absence of entrance examination/interview, the merit of rank is prepared by using the grade obtained in Mathematics and/or Statistics and/or Computer Science in the qualifying examinations.

Placement Assistance

The department prepares students for a career as data scientists and researchers enabling them to make a mark in the corporate sector as well as academic institutions. Through industry-academia collaborations, the department provides placement assistance to the students on successful completion of the course.

How to Apply

Applications open for the academic year 2021-22.

Apply at https://apply.manipal.edu/.

Choose Stream: Data Science to apply for this programme. 

Last Date to Apply: June 30, 2021

Click here for the Programme Brochure

Key Dates & Deadlines

10

Sat Jul 10 2021

Jul ' 21

Last date to Apply

'

Tentative Course Commencement Date

Facilties

Healthcare
Access to hospital facilities gives student hands-on training
 

Innovation Centre
State-of-the-art Innovation Centre facilitates multi-disciplinary research

Labs
Laboratories give students the opportunity for practical experience

Sports & Fitness
Marena has world-class facilities with courts for badminton, tennis, soccer & squash, as well as a well-equipped gymnasium

Libraries
Libraries give students access to study resources, digital and print

Student Housing
Student hostels are their homes away from homes