About Programme
MBA Tech – Data Science is a 5-year Integrated Program in B.Tech Data Science and MBA Business Intelligence & Analytics which prepares students with a strong foundation in the field of Computer Science and Engineering along with Data Science concepts, as well as practical experience in applying these concepts to the real-world Data centric problems in accordance with customers empathy, and finding insights into data, visualizing and analyzing this data and managing enterprises through intelligent techniques to promote businesses in global market.
Eligibility & Admission
Passed 10+2 examination with Physics, Mathematics and Chemistry. Obtained at least 60% marks in the above subjects taken together.
| PROGRAM FEE | AMOUNT |
|---|---|
| Registration Fee (One Time) | 15,000/-INR |
| Semester Fee | 82,500/-INR |
Scholarship
| Marks in 10+2 | Scholarship Per Semester Fee |
| 70% – 80% | 50% |
| Between 80% – 90% | 75% |
| Between 90% – 100% | 100% |
| Percentile | Scholarship Per Semester Fee |
| More than 90 | 100% |
| Between 80 – 90 | 75% |
| Between 60 – 80 | 50% |
| Disability Level | Scholarship Per Semester Fee |
| 90% & Above 90% | 30% |
| 75% & Below 90% | 20% |
| 50% & Below 75% | 10% |
| Category | Scholarship Per Semester Fee |
| Wards of Param Veer Chakra | 30% |
| Winners of Maha Veer Chakra | 20% |
| Winners of Veer Chakra | 10% |
| Work Tenure | Scholarship Per Semester Fee |
| More than 5 years continuous service | 30% |
| 1 Year – 5 Years continuous Service | 20% |
| Category | Scholarship Per Semester Fee |
| Single girl child | 20% |
| Category | Scholarship Per Semester Fee |
| Parentless | 30% |
Either fatherless or motherless provided the annual family income is less than 2.5 lakh | 20% |
Curriculum
This program emphasizes on core Computer Engineering course such as Data Structures, Computer Architecture, Design and Analysis of Algorithms, Database Management Systems, Operating systems, along with Data Visualization, Statistics, Discrete Mathematics, and Probability Theory to set the foundation for Data Science.
Specialized subjects taught include Foundation of Data Science, Machine Learning, R/Python Programming, Data Analysis and Visualization, Deep Learning, to name a few. This is followed by Management and Business Courses, Human Resource Management, Finance Management, Predictive Analysis, Business Intelligence and Analytics, and many more. Blending learning approach through hands on practice in the corresponding laboratories along with ICT enabled teaching practices enable the students in gaining deeper conceptual knowledge to meet global industry requirements.
Programme USP
The program is designed for the students who aspire their careers with agricultural input supply, agricultural production, commodity assembly and processing, and agricultural marketing organizations.
- A specialized MBA in Agribusiness Management program offers great opportunities to be involved in various areas of agriculture such as finance, production, and land management.
The program transforms dynamic and determined graduates into tomorrow’s leaders and decision makers in the food, agriculture sector and allied sectors.
Programme Education Objectives (PEOs)
- PEO1 To be able to sightsee and generate teaching-learning environment that help student formulating for future profession aims.
- PEO2 To be able to plan and implement policies to the organizational glitches through data analysis tools, successfully organize knowledge of business analytics, demonstrate perilous intellectual skills & make the logical connections between quantitative and qualitative tools, theories and framework to solve the organizational glitches.
Programme Outcomes (POs)
- PO1 Generic and Domain Knowledge – Talented to articulate, illustrate, analyze, synthesize, and apply the knowledge of principles and frameworks of management thought and allied domains to the solutions of real-world complex business issues.
- PO2 Problem Solving & Innovation – Ability to Identify, formulate and provide innovative solution supported by empirical evidence to complex business and social problems by methodically applying modern quantitative and qualitative problem-solving tools and techniques.
- PO3 Critical Thinking – An investigative ability to solve multidimensional business problems using evidence-based approach to decision making. An investigative ability to solve multidimensional business problems using evidence-based approach to decision making.
- PO4 Effective Communication – Capability to effectively communicate in multi-cultural, technology reliant work environments in business and with society at large.
- PO5 Leadership and Teamwork – Ability to achieve collaborative cooperation for synergy in an organizational and across organizational boundaries and lead from the front to achieve organizational goals and optimize outcomes for all stakeholders.
- PO6 Global Orientation and Cross-Cultural Appreciation: Ability to face any business issues from a global perspective with confidence, positivity and exhibit an understanding of Cross-Cultural perspective of business and management.
- PO7 Entrepreneurship – A strong business sense to explore entrepreneurial opportunities and leverage managerial & leadership skills for initiating, leading & managing start-ups as well as professionalizing and growing family businesses.
- PO8 Environment and Sustainability – Exhibit understanding to assess the impact of managerial decisions and business priorities on the societal, economic, and environmental aspects for sustainable development.
- PO9 Social Responsiveness and Ethics – Ability to appreciate ethical and values supportive of managerial decisions in a political, cross-cultural, globalized, digitized, socio-economic environment and make a distinction between ethical and unethical behaviors & act with integrity.
- PO10 Lifelong Learning – Aptitude to acquire newer knowledge and skills, assimilate and adapt them to be ready to confront uncharted environment scientifically and confidently.
- PO11 Sound Decision making- Students will evaluate financial statements and documents to support business decisions and use appropriate technologies in gathering and analyzing data relevant to managerial decision-making.
- PO12 Effective Opportunity Identification – Evaluate business environment and opportunities and devise strategies for responding effectively to problems, threats, and opportunities.
Career Prospects
Real world data is growing rapidly and hence the expertise to manage the large volumes of data is increasing proportionally, creating a vast number of opportunities in the field of Data Science. The demand is very high. Graduates can contribute their expertise to a wide array of industries, from tech to finance, healthcare to e-commerce. Here are some in-demand jobs amid the data handling boom that you can consider pursuing a career in.
- Data Manager
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- R Programmer
- Big Data Engineer
- Statistician
Top Companies that hire Data Science Professionals
- Amazon
- Apple
- Microsoft
- IBM
- Netflix
- UBER
- Airbnb
- Tesla
- Accenture