MSc in Data Science at Manipal Academy of Higher Education

INR 280,000

Manipal Academy of Higher Education, IND

Type: Masters Duration: 2.0 years

Explore the MSc in Data Science program at Manipal Academy of Higher Education. This program is offered in IND and provides an excellent learning opportunity in Masters studies.

The Online MSc in Data Science from Manipal Academy of Higher Education (MAHE) is a comprehensive program designed for professionals aiming to advance their careers in the rapidly evolving field of data science. Spanning 24 months, the program covers essential topics such as machine learning, big data analytics, and statistical modeling, equipping students with the skills needed for analytical and leadership roles. The curriculum includes core courses like Computational Mathematics, Programming with R and Python, and Machine Learning Methods, alongside electives such as Natural Language Processing and Computer Vision. With a total of 80 credits required for completion, students can expect to dedicate 15-20 hours per week to their studies. The program is delivered entirely online, featuring live lectures and recorded sessions, ensuring flexibility for working professionals. Graduates will gain access to a prestigious alumni network and enhanced career opportunities in various sectors, including IT, finance, and healthcare.

University
Manipal Academy of Higher Education
University Location
IND (Online)
Program Duration
2.0 years
Ranking
#916
Part-time allowed
Yes

Required Courses
  • 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
  • Time Series Analysis
  • Machine Learning Methods
  • Deep Learning Principles and Applications
  • Applied Multivariate Data Analysis
  • Research Methodology
Elective Courses
  • Computer Vision
  • Health Technology Assessment
  • Natural Language Processing (NLP)
  • Bayesian Statistical Modelling
  • Programming in SAS for Analytics