GITAM INSTITUTE OF MANAGEMENT

Visakhapatnam Campus

  • To develop individuals with conceptual knowledge in the multiple disciplines of analytics comprising of mathematics, statistics, information technology and management.
  • To develop individuals who can pursue career in the area of analytics and continue their professional development by obtaining masters degree specializing in different domains related to analytics.
  • To develop individuals who can apply analytics tools and techniques to solve business analytics problems.
  • To imbibe value based education to the students that will help them to function effectively in their business analytics career.
  • Ability to apply analytics techniques to analyze and interpret the data.
  • Ability to use tools such as Microsoft Excel, SPSS, R, Weka and Tableau to solve business analytics problem
  • Ability to understand the business problem with their knowledge in different functional areas of management
  • Ability to work with structured, semi – structured and unstructured data.
  • Ability to perform descriptive, predictive and prescriptive analytics.
  • Have necessary skills and understanding to take up advanced topics in the area of analytics and thus enhance their career.
  • 201. English
  • 202. Information Technology for Business Analytics
  • 203. Business Economics
  • 204. Financial Accounting
  • 205. Business Mathematics
  • 206. Indian Business Environment
  • 207. Semester End Viva-Voce
  • 301. Telugu/Sanskrit/Hindi/Special English*
  • 302. Principles and Practices of Management
  • 303. Business Research Methodology
  • 304. Excel VBA
  • 305. Business Statistics – I
  • 306. Data Structures with C++
  • 307. Semester End Viva Voce
  • 401. Indian Heritage and Culture
  • 402. Database Management Systems
  • 403. Business Statistics – II
  • 404. Human Resource Management
  • 405. Decision Support Systems with MS Excel
  • 406. Marketing Management
  • 407. Minor Project
  • 408. Semester End Viva-Voce
  • 501. Environmental Science
  • 502. Data warehousing and OLAP
  • 503. Operations Research
  • 504. Predictive Analytics and Decision Making
  • 505. Introduction to R
  • 506. Financial Management
  • 507. Semester End Viva-Voce
  • 601. Programming with Java
  • 602. Production and Operations Management
  • 603. Data Visualization
  • 604. Data Mining
  • 605. Statistical Quality Control and Six Sigma
  • 606. Project Management
  • 607. Minor Project
  • 608. Semester End Viva-Voce
  • 701. Big Data Analytics
  • 702. E-Commerce
  • 703. Business Analysis
  • 604. Data Analysis with Python
  • 705. Elective 1
  • 706. Elective 2
  • 707. Semester End Viva-Voce
  • 801. Web and Social Media Analytics
  • 802. Logistics and Supply Chain Analytics
  • 703. Financial Analytics
  • 804. HR Analytics
  • 805. Healthcare Analytics
  • 806. Econometrics
  • 807. Marketing Metrics
  • 808. Elements of Actuarial Science
  • 901. Outbound Training Programme (OBT)
  • 902. Book Review
  • 903. Introduction to Gandhian Thoughts
  • 904. Public Speaking
  • 905. Yoga & Meditation
  • 906. Business English Certificate (BEC)
  • 907. Soft Skills