MBA Data Science and Data Analytics Syllabus and Subjects
MBA Data Science and Data Analytics syllabus is designed to make students job-ready professionals. The syllabus is structured in a way to meet not only the current trends of the industry but also its future needs of the industry. Some of the syllabus topics are Artificial Intelligence, Machine-Learning, Python Programming, Design Thinking, etc.
MBA Data Science and Data Analytics is a two years long postgraduate course that aims to introduce students to higher education related to Data science. The MBA Data Science and Data Analytics course is an in-depth education that aims to ensure that upon the completion of the course, students have acquired all the relevant and important knowledge they need to build a rewarding career path for themselves.
Semester Wise MBA Data Science and Data Analytics Syllabus
MBA Data Science and Data Analytics syllabus gives students a clear picture of the various concepts of data science and data analytics. Some of the syllabus subjects are business communication, business skills development, applied operations research, etc. The MBA Data Science and Data Analytics course is an ideal course for the students who are interested in data and analytics related fields. Semester-wise MBA Data Science and Data Analytics subjects are listed below:
| Semester I | Semester II |
| Communication Skill Development | Business Communication |
| Corporate Legal Environment | Project Management |
| Accounting for Managers | Macroeconomics in Global Economy |
| Applied Statistics for Decision Making | Financial Analysis and Reporting |
| Business Skills Development | Research Methodology |
| Management of Organizations | Applied Operations Research |
| Business Policy and Strategic Management | Applied Business Analytics |
| Semester III | Semester IV |
| Econometrics | Data Cleaning, Normalization, and Data Mining |
| Ethical and Legal Aspects of Analytics | R Programming |
| Project - 1 | Project - 2 |
| SAP HCM | SAP FICO |
| Spreadsheet Modelling | Stochastic Modelling |
| Specialization Group A - Human Resource Management | Specialization Group A - Human Resource Management |
| Specialization Group B – Foundations | Specialization Group B – Foundations |
| Specialization Group C - Data Analytics | Specialization Group C - Data Analytics |
MBA Data Science and Data Analytics Subjects
MBA Data Science and Data Analytics subjects is categorized as core, elective, and lab subjects. Students should select the elective subjects according to their area of interest, and career goals.
Core Subjects
Given below are the core subjects in the curriculum:
- Management of Organizations
- Research Methodology
- Corporate Legal Environment
- Project Management
- Applied Operations Research
- Accounting for Managers
- Business Communication
- Applied Statistics for Decision Making
Elective Subjects
Given below are the elective subjects in the curriculum:
- HR Industrial Psychology Performance Management
- HR Analytics
- HR Planning and Development Management of Industries
- Stochastic Modelling
- SAP FICO
- SAP HCM
MBA Data Science and Data Analytics Course Structure
MBA Data Science and Data Analytics course consists of three major parts: core subjects, elective subjects, and lab subjects. The core subjects are the compulsory subjects; elective subject students can select the specialization according to their area of interest while the lab section is the practical class. The course structure is:
- Core Subjects
- Elective Subjects
- Lab
- Seminars
- Workshops
- Research Paper Analysis
- Internship
- Project work
MBA Data Science and Data Analytics Teaching Methodology and Techniques
MBA Data Science and Data Analytics Teaching Methodology and Techniques are such that each student can learn and grasp the various concepts and knowledge imparted. The mixture of theory and practical teaching gives the students a proper understanding of the program. Below are some of the teaching methodologies and techniques:
- Group projects
- Practical sessions
- Thesis writing
- Research papers
- Workshops
- Lab sessions
- Data Programming
- Data analysis
- Big data
MBA Data Science and Data Analytics Projects
MBA Data Science and Data Analytics course is all about the study of managing information, data statistics, Data Visualisation, Fintech Concepts, Artificial Intelligence and Machine Learning, and much more.
Popular MBA Data Science and Data Analytics Projects are:
- Big Data for Cybersecurity
- Analysis of Sentiments
- Market Survey for Segmentation
- Text Mining
- Analysis of Tourist Behaviour
MBA Data Science and Data Analytics Reference Books
Listed below are the best Data Science and Data Analytics reference books suggested by our experts:
| Books | Authors |
| Practical Statistics for Data Scientists | Peter Bruce and Andrew Bruce |
| Python for Data Analysis | Wes McKinney |
| R for Data Science | Hadley Wickham and Garret Grolemund |
| Big Data MBA: Driving Business Strategies with Data Science | Bill Schmarzo |
Top Management Entrance Exams
Exam Date: May 19, 2024
