The syllabus followed in the curriculum of the M.Sc Big Data Analytics is listed below:
| M.Sc Big Data Analytics Syllabus | |
| Semester I | |
| SI No | Syllabus |
| 1 | Data Warehousing & Data Mining |
| 2 | Parallel And Distributed Computing |
| 3 | Big Data Architecture Ecosystem |
| 4 | Python Programing |
| 5 | Lab on Python |
| 6 | Lab on Hadoop |
| 7 | Philosophy of Science and Spirituality |
| M.Sc Big Data Analytics Syllabus | |
| Semester II | |
| SI No | Syllabus |
| 1 | R Programming |
| 2 | Distributed Processing of Data using Hadoop Map Reduce, Pig & Hive |
| 3 | Operation Research |
| 4 | Next Generation Databases |
| 5 | Lab on R Programming |
| 6 | Lab on Hadoop and Databases |
| 7 | Humanities, Ethical, Moral and Social Sciences |
| M.Sc Big Data Analytics Syllabus | |
| Semester III | |
| SI No | Syllabus |
| 1 | Statistical Computing |
| 2 | Information Security |
| 3 | Big Data – Apache Spark |
| 4 | Machine Learning Algorithm-I |
| 5 | Lab on Statistical Computing |
| 6 | Lab on Machine Learning Algorithms – I |
| 7 | Creativity and Innovation |
| M.Sc Big Data Analytics Syllabus | |
| Semester IV | |
| SI No | Syllabus |
| 1 | Principles Of Deep Learning |
| 2 | Machine Learning Algorithm-II |
| 3 | Data Science life cycle |
| 4 | Lab on Machine Learning Algorithms II |
| 5 | Lab Data Science life cycle |
| 6 | Customer Relationship And Management Analytics |
| 7 | Introduction to image processing |
| 8 | Internet Of Things |
The subjects that are included in the curriculum of M.Sc Data Analytics course is listed below:
| M.Sc Big Data Analytics Subjects | |
| Semester I | |
| SI No | Subjects |
| 1 | Introduction to Computer Hardware |
| 2 | System Software Concepts |
| 3 | Fundamentals of Programming |
| 4 | Object-Oriented Programming using C++ |
| 5 | Introduction to Relational DBMS |
| 6 | Introduction to User Interface Design Concepts |
| 7 | Project Work |
| M.Sc Big Data Analytics Subjects | |
| Semester II | |
| SI No | Subjects |
| 1 | Statistics for Data Science |
| 2 | Big Data Technology & Computing |
| 3 | Advanced Spreadsheet Analysis and Programming in R |
| 4 | Algorithms for Advanced Data Analytics |
| 5 | Data Science and Statistical Analysis Lab |
| 6 | Data Warehouse and Data Mining |
| 7 | Advanced Algorithms and Data Mining using R Lab |
| M.Sc Big Data Analytics Course | |
| Semester III | |
| SI No | Subjects |
| 1 | Multivariate Techniques for Data Analytics |
| 2 | Big Data and Internet of Things |
| 3 | Modeling, Simulation, and Data Science |
| 4 | Time Series Analysis and Forecasting |
| 5 | Real-Time Data Analytics with Streaming Data |
| 6 | Big Data Analytics with Scala and Spark |
| 7 | Big Data Visualization using Tableau |
| 8 | Technical Writing & Paper Presentation |
| M.Sc Big Data Analytics Subjects | |
| Semester IV | |
| SI No | Subjects |
| 1 | Project Work, Industry Internship |
