Data Science Graduate
The badge earner has excellent Critical Thinking, Visual modelling and Analytical skills and can apply Statistical, Descriptive, Predictive and Prescriptive Analytics to Business situations to define Business Solutions. The individual has a substantial knowledge of Process Mapping and Risk Assessment. The badge earner also has an in depth knowledge on Data Warehouse, Big Data & Hadoop and also knows the usage of several Analytical Tools.
Skills
Program objectives
- To skill the students to identify, analyze and solve Data Science problems by applying knowledge of Mathematics, Science and Engineering with modern engineering tools in the specific areas of:
- Applied Statistics
- Data Warehouse & Multi-dimensional Modeling
- Data Mining and Predictive Modeling
- Business Intelligence
- Operations Research & Optimization
- Expert System
- Real-time monitoring & Analysis
- Social, Web & Mobile Analytics
- Big Data Analytics
- Business Process Management
- To provide conceptual knowledge in the Data Science domain
- To provide interdisciplinary knowledge
- To expose students with advanced tools used in industry
- To develop team work experience of professionals skills for IT Industry.
| Subject Name | Theory | Practicals |
|---|---|---|
| Open Source and Open Standards | 2 | |
| Business Process Management | 3 | |
| Data mining & Prediction Modeling | 3 | 1 |
| Data Warehousing & Multidimensional Modeling | 3 | 1 |
| Big data analytics/IBM Elective | 3 | 1 |
| BAO & Cloud | 3 | |
| Expert Systems | 3 | 1 |
| Retail Analytics | 3 | 1 |
| Introduction to Data Science | 2 | |
| Applied statistical Analysis | 3 | 1 |
| Web Technologies through PHP | 3 | 1 |
| Business Intelligence | 3 | 1 |
| Operation Research & Optimization | 3 | 1 |
| Enterprise Information Architecture | 2 | 0 |
| Business Strategy & Analytics | 2 | 0 |
| Backup & DR | 3 | 0 |
| Mobile Analytics | 3 | 1 |
| Banking & Insurance Analytics | 3 | 1 |
Program outcomes
- To demonstrate skills in Data Science techniques and technologies;
- To test applications with concepts of Data Science domain subjects;
- To demonstrate oral and written skills for technical presentations and documentation;
- To demonstrate Data Science projects worked on as a team
What it takes to earn this badge
- Must be a University student of a 4-year Undergraduate Program enrolled in the IBM Innovation Centre for Education Program
- Minimum attendance determined by the University in all the semesters
- Minimum marks for both Theory and Practical exam in all semesters as mandated by the University
- The minimum number of IBM specialization subjects completed should be 7
- Completion of projects in the relevant semesters including an external internship with grades as mandated by the University
- All the above criteria to be certified by the University