CHRIST (Deemed to University), Bangalore

DEPARTMENT OF STATISTICS_AND _DATA_SCIENCE

School of Sciences






Syllabus for
MSc (Data Science)
Academic Year  (2024)

 
1 Semester - 2024 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MDS131 RESEARCH METHODS IN DATA SCIENCE Core Courses 5 4 100
MDS132 PROBABILITY AND DISTRIBUTION THEORY Core Courses 5 4 100
MDS133 MATHEMATICAL FOUNDATIONS FOR DATA SCIENCE-I Core Courses 4 3 100
MDS151P APPLIED EXCEL Core Courses 3 1 50
MDS161A PRINCIPLES OF PROGRAMMING Discipline Specific Elective Courses 3 2 50
MDS161B INTRODUCTION TO PROBABILITY AND STATISTICS Discipline Specific Elective Courses 3 2 50
MDS161C LINUX ESSENTIALS Discipline Specific Elective Courses 3 2 50
MDS171 PROGRAMMING USING PYTHON Core Courses 7 4 100
2 Semester - 2024 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MDS231 DESIGN AND ANALYSIS OF ALGORITHMS Core Courses 4 3 100
MDS232 MATHEMATICAL FOUNDATIONS FOR DATA SCIENCE-II Core Courses 4 3 100
MDS271 DATABASE TECHNOLOGIES Core Courses 7 4 100
MDS272 INFERENTIAL STATISTICS USING R Core Courses 7 4 100
MDS273 FULL STACK WEB DEVELOPMENT Core Courses 7 4 100
3 Semester - 2024 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MDS311 CLOUD SERVICES - 3 2 50
MDS331 REGRESSION MODELLING - 4 3 100
MDS341A CATEGORICAL DATA ANALYSIS - 4 3 100
MDS341B MULTIVARIATE ANALYSIS - 4 3 100
MDS341C STOCHASTIC PROCESSES - 4 3 100
MDS371 JAVA PROGRAMMING - 7 4 100
MDS372 MACHINE LEARNING - 7 4 100
MDS381 SEMINAR - 3 2 50
4 Semester - 2023 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MDS411 DATA DRIVEN MODELLING AND VISUALIZATION Core Courses 3 2 50
MDS431 TIME SERIES AND FORECASTING TECHNIQUES Core Courses 5 4 100
MDS471 NEURAL NETWORKS AND DEEP LEARNING Core Courses 7 4 100
MDS472A WEB ANALYTICS Discipline Specific Elective Courses 6 3 100
MDS472B IOT ANALYTICS Discipline Specific Elective Courses 6 3 100
MDS472C NATURAL LANGUAGE PROCESSING Discipline Specific Elective Courses 6 3 100
MDS472D GRAPH ANALYTICS Discipline Specific Elective Courses 6 3 100
MDS481 PROJECT-I (WEB PROJECT WITH DATA SCIENCE CONCEPTS) Core Courses 5 2 100
MDS482 RESEARCH PROBLEM IDENTIFICATION Core Courses 3 1 50
5 Semester - 2023 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MDS531A ECONOMETRICS Discipline Specific Elective Courses 5 4 100
MDS531B BAYESIAN INFERENCE Discipline Specific Elective Courses 5 4 100
MDS531C BIO-STATISTICS Discipline Specific Elective Courses 5 4 100
MDS571 BIG DATA ANALYTICS Core Courses 7 4 100
MDS572A EVOLUTIONARY ALGORITHMS Discipline Specific Elective Courses 6 3 100
MDS572B QUANTUM MACHINE LEARNING Discipline Specific Elective Courses 6 3 100
MDS572C REINFORCEMENT LEARNING Discipline Specific Elective Courses 6 3 100
MDS573A GEOSPATIAL DATA ANALYTICS Discipline Specific Elective Courses 6 3 100
MDS573B BIO-INFORMATICS Discipline Specific Elective Courses 6 3 100
MDS573C IMAGE AND VIDEO ANALYTICS Discipline Specific Elective Courses 6 3 100
MDS581 PROJECT - II (RESEARCH PROJECT_ DATA SCIENCE CAPSTONE PROJECT) Core Courses 5 2 100
6 Semester - 2023 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MDS681 INDUSTRY PROJECT - 3 10 300
MDS682 RESEARCH PUBLICATION - 3 2 50
    Note:
  • Students can choose their prefered course from the elective as per the direction by the department
  • In addition to this, students are expected to complete three multi disciplinary courses before the end of third Sememter (Not applicable for student of Engineering, Hotel Management, Education, LLB and all Post Graduate Programmes)