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 |