M.Sc Data Analytics Syllabus and Subjects
M.Sc Data Analytics is a postgraduate degree program. The course duration is of two years and that comprises data analyzing and transferring and also information technology. M.S.c Data Analytics syllabus differs according to the specialization student chooses. The syllabus is divided into four semesters which will help students to learn more efficiently.
Semester Wise M.Sc Data Analytics Syllabus
M.Sc Data Analytics course has a very broad spectrum and it provides students with lots of opportunities. The course is divided into four semesters where the first two semesters had the basics and the last two semesters included the core vital topics. M.Sc Data Analytics course contains all the vital information required to study and provide knowledge about the subject. Listed below is the semester-wise syllabus format:
M.Sc Data Analytics First Year Syllabus
Listed below is the M.Sc Data Analytics first-year syllabus:
| Semester I | Semester II |
| Statistical Method for Data Analysis | Predictive Analytics |
| Java Programming | Data Mining |
| Optimization and Heuristics | Text Analytics |
| Topics in Analytics | Topics in Analytics with Python |
| Databases and Information Retrieval | Social Network Analysis |
| Programming Lab Course/Project Course-I | Programming Lb Course/ Project Course - II |
M.Sc Data Analytics Second Year Syllabus
Listed below is the second-year syllabus of M.Sc Data Analytics:
| Semester II | Semester IV |
| Analytics for Big Data | Internship Program in Data Analytics |
| Data Visualization | Research Project |
| Data Warehousing | - |
| Elective I, II, III | - |
M.Sc Data Analytics Subjects
M.Sc Data Analytics subjects are unique and comprise all the vital topics students should study to be able to succeed in this career. M.Sc Data Analytics consists of core and elective subjects that students need to go through while pursuing this course. The core subjects contain vital topics that make the course more efficient and study-oriented.
M.Sc Data Analytics Core Subjects
Listed below are the core essential subjects that students need to go through
- Optimization and Heuristics
- Databases and Information Retrieval
- Data Visualization
- Data Warehousing
- Social Network Analysis
- Internship Program in Data Analytics
M.Sc Data Science Electives
Students can choose any of the following subjects as an elective paper to excel in skill development:
- Computational Linguistics- Advanced Python
- Data Structures, Objects, and Algorithms in Python
- Advanced Algorithms for Analytics
- Time Series
- Optimization
- Advanced Analytics and Applied Math for Streaming and High Dimension Data and Applications
- Blockchain Technologies for Data Science
- Adv. Web Dev and Apps for Data Science
- Natural Language Processing for Data Analytics
- Geographic Information Systems (GIS) and Applications
- Neural Networks and Deep Learning
- Digital Storytelling
- Advanced Topics in Machine Learning
- Machine Learning App Deployment
- Database Systems and SQL
- Network Analysis
- Image Mining and Computer Vision Analytics
MS.c Data Analytics Course Structure
M.Sc Data Analytics course structure comprises a core course which includes all the vital information important to learn. M.Sc Data Analytics is a two years postgraduate degree program and is divided into six semesters. The first two semesters consist of the basics learning while the other two are the core topics. Listed below is the course structure:
- IV Semesters
- Core Subjects
- Postgraduate Course
- Research Project
- Internship
M.SC Data Analytics Teaching Methodology and Techniques
Teaching and learning are the two most important aspects of a course curriculum which will help students to understand the subject more deeply. The traditional classroom-based teaching method is most useful for students to learn and as queries.
The course is designed in a way that students get access to all the infrastructure and facilities available. Listed below are the teaching methodology and techniques:
- Lectures
- Practical Sessions
- Research Papers
- Seminars
- Group Discussions
- Traditional Classroom-Based Teaching
M.Sc Data Analytics Course Projects
M.Sc Data Analytics course projects are an integral part of the course curriculum. These projects are assessed by the professors to judge the student's understanding of the subjects. Students can choose their project topics based on the specialization they choose to pursue. Some of the popular research projects are listed below:
- Climate Change Impact on Global Food supply.
- Human Action Recognition
- Forest Fire Prediction
- Road Lane Detection
- Recognition of Speech Emotion
- Gender and age Detection with Data Science
M.Sc Data Analytics Course Books
Books are the most valuable assets and a great investment for the students. M.Sc Data Analytics book will help students to study the core subjects and also can learn about various topics according to their interests. Students can borrow books or can download online and also can purchase them. Listed below are some of the popular books:
| Name of the Book | Author |
| Data Analytics made Accessibly | A Maheswari |
| Predictive Analytics: The power to predict who will click, Buy, Lie or Die | E Siegel |
| Learn Analytics: Use Data to Build a Better Startup Faster | A.Croll and B. Yoskovitz |
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Result Date: Mar 22, 2024
