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Overview
Business analytics is the process of leveraging cutting-edge technology to enhance a company's past or present data. This involves the development of sophisticated models that drive future growth. A general business analytics process comprises various components such as data collection, data mining, sequence identification, text mining, forecasting, predictive analytics, optimization, and data visualization
By integrating the domains of computer science and business management, business analytics produces valuable insights that can be effectively implemented. The resulting values and inputs are then utilized to optimise business operations, improve efficiency, and establish a robust system.
Milestones:
About the Course:
Curriculum
Course Highlights
- Trimester System
- Total 120 Credits
- One Summer Internship (8-12 Week)
- 2 week International Immersion Progamme
- Certification Courses in Advanced MS-excel, Python, Tableau, Power BI, Bloomberg, NISM
curriculum1
| Subject Code | Courses | Credits (21) |
|---|---|---|
| 101 | Marketing Management | 3 |
| 102 | Organizational Behaviour | 3 |
| 103 | Financial Reporting & Analysis | 3 |
| 104 | Applied Economics for Business Decisions | 3 |
| 105 | Advance Excel (Certification) | 3 |
| 106 | Business Communication -I | 3 |
| 107 | Business Statistics for Managers | 3 |
| Subject Code | Courses | Credits (21) |
|---|---|---|
| 201 | Banking & Financial Services | 3 |
| 202 | Corporate Finance | 3 |
| 203 | Business Analytics with Python | 3 |
| 204 | Business Research Methods | 3 |
| 205 | Ethics, Responsibility, and Sustainability | 3 |
| 206 | Business Communication -II | 3 |
| 207BA | Human Resource Management | 3 |
| Subject Code | Courses | Credits (21) |
|---|---|---|
| 301 | Data Visualization with Tableau (Certification) | 3 |
| 302 | Data Management and SQL | 3 |
| 303 | Corporate and Business Law | 3 |
| 304BA | Innovative Design Thinking for Entrepreneurship & Business Develop | 3 |
| 305BA | Operations Management & Strategy | 3 |
| 306BA | Machine Learning in Business | 3 |
| Subject Code | Courses | Credits (21) |
|---|---|---|
| 401 | Project Management (Certification) | 3 |
| 402BA-MM | Services & Retail Marketing | 3 |
| 403BA-MM | Digital Marketing & Analytics/td> | 3 |
| 404BA-MM | International Marketing | 3 |
| 405BA-HR | HR Metrics and Dashboards | 3 |
| 406BA-HR | Compensation and Rewards Management through Analytics | 3 |
| 407BA-HR | Negotiation & Conflict Management | 3 |
| 408FS | Fundamental Analysis | 3 |
| 409FS | Financial Analytics using R/Python | 3 |
| 410FS | Portfolio Management & Mutual Funds (NISM Series V A: Mutual Funds) | 3 |
| 411BA-OM | Logistics & SCM | 3 |
| 412BA-OM | Supply Chain Analytics | 3 |
| 413BA-OM | Quality Toolkit for Managers | 3 |
| Subject Code | Courses | Credits (18) |
|---|---|---|
| 501 | Digital & Text Analytics | 3 |
| 502BA-MM | Consumer Psychology & Data Privacy | 3 |
| 503BA-MM | Marketing Analytics for Decision Making | 3 |
| 504BA-MM | Product & Brand Management | 3 |
| 405BA-HR | HR Metrics and Dashboards | 3 |
| 505BA-HR | Employee Performance Analytics | 3 |
| 506BA-HR | Strategic Human Resource Management | 3 |
| 507BA-HR | Emotional inteligence and managerial effectiveness | 3 |
| 508FS | AI and Machine Learning for BFS | 3 |
| 509FS | AI and Machine Learning for BFS | 3 |
| 510FS | Financial Modelling | 3 |
| 511BA-OM | Service Operations Management | 3 |
| 512BA-OM | Operations Analytics | 3 |
| 513BA-OM | Pricing & Revenue Management | 3 |
| Subject Code | Courses | Credits (9) |
|---|---|---|
| 601BA-MM | Predictive Analytics & Big Data | 3 |
| 602BA-MM | Analytics for Consumer Behavior Insights | 3 |
| 603BA-HR | Talent Analytics and Succession Planning | 3 |
| 604BA-HR | Digital HR Transformation & AI Driven HR Analytics | 3 |
| 405BA-HR | HR Metrics and Dashboards | 3 |
| 605FS | Forecasting and Pricing Analytics | 3 |
| 606FS | Financial Credit Analytics | 3 |
| 607BA-OM | Optimization Methods for Management Science | 3 |
| 608BA-OM | ERP & Analytics | 3 |
Eligibility
Eligibility
- A minimum of 55% in graduation
- A minimum of 2 years of work experience (preferred)
- A candidate cutoff in any one of the National Entrance Exam like CAT, ICET, XAT, GMAT, and NMAT or 50% and above in the entrance exam conducted by SoIM.
- Graduates must have at least a 55% average to qualify as applicants.
- Group Discussion and Personal Interview rounds.
International Immersion Programs
Our goal is to make studying abroad available to everyone who desires it. SoIM opens your door to the globe by offering inexpensive and comprehensive programmes abroad.
The class will visit one of the international university partners for a duration of around 2-3 weeks and learn selective courses on their campus.
Additionally, the students can also individually upon their choice can visit the international university partner for selected courses. The credits gained with these partners will be treated equally with the credit at SoIM.
