PGDM – Business Analytics

A uniquely designed, AICTE (Ministry of HRD, GoI) Approved programme, Globsyn Business School’s Post Graduate Diploma in Management – Business Analytics (PGDM – Business Analytics) curriculum provides in-depth knowledge of analytical concepts, techniques, and their applications in improving business decisions. The objective of the programme is to facilitate in-depth exposure to the students regarding methodologies and practices of Business Analytics and to prepare them for the emerging needs of industry in the various functional domains.

In today’s corporate world data driven decision making is the most sought-after industry skill. The PGDM – Business Analytics programme will focus on honing your understanding of key concepts, your managerial judgment, and your ability to apply course concepts to real business problems. Based on Globsyn’s triad of Innovation, Research and Technology, this programme is intended to help students gain skills to excel in the fast paced business world by learning how to leverage data and analytics to make better business decisions.

Geared to help students keep pace with changing market dynamics and make better strategic business decisions informed by real metrics and insights, this programme is amplified with ready access to up-to-date, high-quality data and analysis, which will shape them into ‘industry relevant managers’ of the global knowledge economy.

Duration: 2 years Full Time Programme.

Program Educational Objectives

  • To provide graduates with a comprehensive knowledge of business analytics and its application in the diverse contexts of business
  • To produce management graduates who can solve business problems in real-world situations by applying analytical skills to make effective decisions
  • To produce responsible managers who have high regard for personal and organizational integrity in pursuit of sustainable development
  • To enable graduates to demonstrate critical thinking, creativity, and innovation to emerge as business leaders and entrepreneurs in the analytical domain
  • To equip students with effective communication skills, team spirit, and social values to meet the diversified needs of the industry

Structure

Foundation ProgrammeCoverage: Academic Sessions, Non-Academic Sessions, Corporate Connects, Employability Enhancement Sessions, Basic English, Basic Maths
Mode: Blended Mode – Online and Face to Face
Core CoursesCoverage: Python, R, Data Management, Cloud Computing, Artificial Intelligence, Natural Language Processing, Machine Learning, Cyber Security, Economics, Quantitative Techniques, Operations, Business Research Methods, Finance, Marketing, HR, etc.
Mode: Mixed Mode – Lectures supplemented by Online Learning, Live on-site projects, Experiential Learning and Case Studies
Schools of ExcellenceSpecialization I: Business Analytics
Specialization II: Finance/Marketing/HR/Operations Management
Mode: Mixed Mode – Lectures supplemented by Online Learning and Case Studies

Curriculum

Semester I

Sl. No.Courses
1Financial & Management Accounting
2Managerial Economics
3Quantitative Methods - I (Applied Statistics)
4Organisation Behaviour and Human Resource Management
5Marketing Management
6Business Communication
7Excel for Business
8Programming with R
9Programming with Python
10RDBMS and Datawarehouse
11Professional Skills Development - I
12Basic English - I
13Basic Maths - I

Semester II

Sl. No.Courses
1Financial Management and Corporate Finance
2Quantitative Methods - II (Operations Research)
3Global Business Strategy
4Operations Management
5Spreadsheet Modelling with Excel
6Machine Learning - I
7Big Data Management
8Market Research
9MIS and ERP
10Data Visualisation
11Cloud Technology
12Digital Transformation and Strategy
13Professional Skills Development - II
14Basic English - II
15Basic Maths - II

Summer Internship Program

Semester III

Sl. No.Courses
1Artificial Intelligence and Deep Learning
2Natural Language Processing (NLP)
3Machine Learning - II
4Data Engineering
5Cybersecurity and Cyberlaw
6Professional Skills Development - III
7Basic English - III
8Basic Maths - III
9Electives from School of Business Analytics (Major)
10Electives from School of Management (Minor)

Semester IV

Sl. No.Courses
1Business Ethics & Corporate Governance
2Data Governance and Data Ethics
3Blockchain and Industry 4.0
4Agile Project Management for Analytics
5Electives from School of Business Analytics (Major)
6Electives from School of Management (Minor)
7Dissertation

Two Credits is allotted to Beyond Education Activities, which is spread across all four semesters.

Schools of Excellence

  • School of Business Analytics Excellence
  • Schools of Management Excellence (Finance/Marketing/HR/Operations Management)

Please be aware of AICTE’s eligibility criteria, admission policy and refund policy from the AICTE website, before applying for the PGDM – Business Analytics programme of Globsyn Business School.