PGDM – Artificial Intelligence and Data Science
our Programs
Artificial Intelligence and Data Science
This program provides a hands-on experience for demystifying the data science ecosystem and makes the student a more conscientious consumer of information. The PGDM program in Artificial Intelligence and Data Science is designed with a vision to skill students in the areas of data science and analytics for better employability and career prospects. The program is designed to teach students the effective use of data for better business decision making.
Program Objectives
• Sharpening Decision making skills using AI-DS tools.
• All round development of Personality.
• High managerial efficiency in resource utilization.
• Learning mindset to improve Knowledge, Skills, Attitude and Habits
• Problem Solving and Critical Thinking to create Socio-Economic impact.
• Empower the students with the data driven decision making capabilities
Program Highlights
• Two thirds of the program involves practical engagement.
• One Week Global Immersion Programme (Global Experience).
• Industry interface – Knowledge sharing.
• Technology enhanced classroom for interactive learning
• Well established computer labs facilitating hands on learning
• Value addition through NPTEL online certification
• Excellent start-up ecosystem in place
KEY Takeaways
Knowledge to build technology-driven businesses
• Skills to manage and own tech-enabled businesses
• Data driven decision making
• Recruiters
Students with their all-round decision making skills would be engaged by a number of industries including Management Consulting, IT Consulting, Retail, E-tail, Pharma, Healthcare, Edutech and infotainment firms, Tech-enabled start-ups, Business Aggregators etc.
Program Objectives
• Sharpening Decision making skills using AI-DS tools.
• All round development of Personality.
• High managerial efficiency in resource utilization.
• Learning mindset to improve Knowledge, Skills, Attitude and Habits
• Problem Solving and Critical Thinking to create Socio-Economic impact.
• Empower the students with the data driven decision making capabilities
Program Highlights
• Two thirds of the program involves practical engagement.
• One Week Global Immersion Programme (Global Experience).
• Industry interface – Knowledge sharing.
• Technology enhanced classroom for interactive learning
• Well established computer labs facilitating hands on learning
• Value addition through NPTEL online certification
• Excellent start-up ecosystem in place
KEY Takeaways
Knowledge to build technology-driven businesses
• Skills to manage and own tech-enabled businesses
• Data driven decision making
• Recruiters
Students with their all-round decision making skills would be engaged by a number of industries including Management Consulting, IT Consulting, Retail, E-tail, Pharma, Healthcare, Edutech and infotainment firms, Tech-enabled start-ups, Business Aggregators etc.
CURRICULUM
S.No | TRIMESTER – I |
---|---|
1 | Management and Organization Behavior |
2 | Accounting for Management |
3 | Management Information System |
4 | Fundamentals of Programming |
5 | Introduction to Statistics |
6 | Marketing Management |
7 | Spreadsheet Modelling |
8 | Introduction to R |
S.No | TRIMESTER – II |
---|---|
1 | Human Resource Management |
2 | Operations Management |
3 | Managerial Economics |
4 | Financial Management |
5 | Business Communication |
6 | Query Language for Data Science |
7 | Introduction to Python |
8 | Project-1 |
S.No | TRIMESTER – III |
---|---|
1 | Project Management |
2 | Business Research Methods |
3 | Artificial Intelligence Introduction |
4 | Design Thinking |
5 | Predictive Analytics |
6 | Python for Data Science |
7 | Machine Learning Theory and Applications |
8 | Visual Analytics using Power BI |
9 | Industry Analysis – Project |
S.No | TRIMESTER – IV |
---|---|
1 | Innovation and Entrepreneurship |
2 | Big Data |
3 | Operational Analytics |
4 | Introduction to Deep Learning |
5 | IoT Analytics for Managers |
6 | Financial Analytics |
7 | Social Media and Web Analytics |
8 | Marketing Analytics |
9 | Data Science Project-1 (Hybrid Mode with Industry) |
S.No | TRIMESTER – V |
---|---|
1 | Advanced Deep Learning Techniques |
2 | Text Analytics |
3 | Supply Chain Analytics |
4 | Case Studies and Practices in Data Science |
5 | HR Analytics |
6 | Software Project Management |
7 | Campus Recruitment Training (CRT) |
8 | Data Science Project 2 (Hybrid Mode with Industry) |
S.No | TRIMESTER – VI |
---|---|
1 | Guided Open Learning (online certification) |
2 | Full Time Industry Project |