MBA Data Analytics syllabus and subjects develop students' skills in both essential business management and specialization in data analytics. The course improves the student's knowledge of big data, data mining, database management, data science, and data warehousing. The first two semesters syllabus concentrates on core subjects that are all about business management principles and introduction subjects to data analytics. The next two semesters syllabus has some elective subjects chosen as per their area of interest that concentrate on the course specialization. Other than that, aspirants are also taught professional English, soft skills, seminars, practicals, and projects.
MBA in Data Analytics syllabus core subjects include corporate legal management, basic introduction about the syllabus specialization, business development skill, business communication, human resource, and much more. The elective subjects include foundation courses in data cleaning, normalization and data mining, business analytics, and web analytics. The syllabus structure is divided into four semesters, which train the basics, core, electives, and project. Semester wise MBA 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 in Data Analytics subjects is categorized as core, elective, and lab subjects. Seminars, research work, lab practicals, and workshops are a key part of the data analytics course. Students should select the elective subjects contingent on their area of interests, ambitions, and career growth.
Core Subjects:
Elective Subjects:
Lab Subjects:
The MBA in Data Analytics course consists of three major parts: core subjects, elective subjects, and lab subjects. The core subjects are the mandatory subjects to complete; electives subject students can select the specialization according to their area of interest and the lab section is the practical class. The course upskills students the basic knowledge of business administrations, data mining, data analyzing, data warehousing, data storage, identifying the patterns, and much more. The course structure is:
MBA in Data Analytics is a business administration and management course to help students adroit in data handling. Teaching methodology should combine well-trained faculties, adequate study materials, and teaching new technologies, tools, and techniques. Along with theory, practical training is what gives students a clear understanding of the course. Students must be well-educated to task on every portion of the course. Listed below are a few teaching methodology and techniques:
MBA in Data Analytics course is all about the study of managing information, data statistics, finding data patterns, quantitative analysis, client relationships management, and database management, and much more. Projects in MBA Data Analytics may be worked on different topics like data analysis, big data, Hadoop, apache, and much more. Team projects train students to work with team coordination and research paper surveys to learn something new that will enhance their creative ideas and innovations.
Popular MBA Data Analytics projects are:
Listed below are the best data analytics reference books suggested by our experts:
| Books | Authors |
| Data Analytics: Using Big Data Analytics for Business to Increase | Adams, Matthew |
| Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner | Galit Shmueli, Nitin R. Patel, and Peter C. Bruce |
| Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking | Tom Fawcett |
| Business Analytics: Data Analysis & Decision Making | S. Christian Albright and Wayne L. Winston |
| Big Data MBA: Driving Business Strategies with Data Science | Bill Schmarzo |
