MSCDSA: Master of Science (M.Sc.) (Data Science and Analytics) (ODL) Apply Now

Introduction

The M.Sc. (Data Science and Analytics) is a two-year programme that aims to train learners in computational and statistical skills for data-driven problem solving. The programme is designed for learners from a broad range of backgrounds who wish to enhance their existing knowledge and skills or convert into data science specialists. The programme prepares the leaners to apply data science techniques to solve real-world problems in various domains such as business, healthcare, social sciences, and engineering.

Exit Option: If a learner decides to EXIT from the programme after successful completion of all the courses of first two semesters (40 credits), then the learner is eligible for the award of Post Graduate Diploma in Data Science and Analytics. However, to mention that there is no explicit admission for Post Graduate Diploma in Data Science and Analytics.

Objective

The M.Sc. (Data Science and Analytics) programme is designed to prepare graduate students for successful careers in the software industry and academia. The following are the objectives:

  • To provide a strong foundation in statistical and computational methods for data analysis.
  • To equip with the skills to collect, manage, analyze and interpret large and complex datasets.
  • To apply data science techniques to solve real-world problems in various domains such as business, healthcare, social sciences, and engineering.
  • To prepare for careers in data science and analytics.

Courses Structure

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MCS-061: Mathematical Foundations - I

Credits: 4
Semester 1

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MCS-062: Introduction to Data Science

Credits: 4
Semester 1

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MCS-063: Data Structures using Python

Credits: 4
Semester 1

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MCS-207: Database Management Systems

Credits: 4
Semester 1

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MCSL-064: Database Management Systems

Credits: 2
Semester 1

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MCSL-065: Data Science Lab

Credits: 2
Semester 1

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MCS-066: Mathematical Foundations - II

Credits: 4
Semester 2

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MCS-067: Data Wrangling and Visualization

Credits: 4
Semester 2

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MCS-224: Artificial Intelligence and Machine Learning

Credits: 4
Semester 2

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MCS-068: Predictive Data Analysis

Credits: 4
Semester 2

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MCSL-069: Artificial Intelligence and Machine Learning Lab

Credits: 2
Semester 2

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MCSL-070: Data Analysis Lab

Credits: 2
Semester 2

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MCS-071: Big Data Analytics

Credits: 4
Semester 3

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MCS-072: Deep Learning

Credits: 4
Semester 3

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MCS-073: Soft Computing

Credits: 4
Semester 3

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MCS-074: Cloud Computing

Credits: 4
Semester 3

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MCSL-075: Big Data Analytics Lab

Credits: 2
Semester 3

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MCSL-076: Deep Learning Lab

Credits: 2
Semester 3

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MCS-077: Natural Language Processing

Credits: 4
Semester 4

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MCS-078: Data Security

Credits: 4
Semester 4

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MCSP-079: Project Work

Credits: 12
Semester 4

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