Duration
Eligibility
Fees
Admission Open 2026-27 | MBA in Business Intelligence & Data Analytics
About B.Tech in Civil Engineering
The Faculty of Management at Usha Martin University provides a progressive and industry-specific learning environment for students seeking an MBA in Business Intelligence & Data Analytics. The faculty comprises professors, industry experts, and research professionals from various backgrounds, ensuring that they bring a combination of theoretical and practical knowledge into the classroom for students. The professors help students learn and understand both management and current data-driven business trends and techniques.
The methodology of teaching is highly practical and application-based. Unlike traditional learning methods, where students learn only from textbooks and theoretical concepts, in this course, students learn from case studies and real-world business scenarios and data analysis projects. The professors also help students develop analytical thinking and strategic decision-making skills through personal mentoring. Moreover, workshops, seminars, and guest lectures from industry professionals help students keep abreast of current trends and techniques in business analytics through industry interactions and workshops. The overall aim is to help students become competent and skilled professionals in using data for business growth and development.
Overview of the MBA in Business Intelligence & Data Analytics
The MBA in Business Intelligence & Data Analytics at Usha Martin University is a postgraduate course that offers students knowledge in business management along with skills in data analysis. In the present scenario, every organization uses data for taking business decisions, and hence, the demand for business intelligence and data analytics professionals is high.
The course curriculum for the MBA in Business Intelligence & Data Analytics at Usha Martin University will include business management-related subjects such as marketing management, financial management, human resource management, and business analytics-related subjects such as data analytics, business intelligence, data visualization, predictive analytics, and big data technologies.
The students who complete the course will have the ability to interpret complex data and provide insights for business decisions. This course offers students a wide range of opportunities for employment in various industries such as IT, finance, consulting, e-commerce, and healthcare.
Programme Overview
- High demand for data-driven professionals in the corporate world.
- Attractive salary packages in analytics and management roles.
- Combination of management and technical skills.
- Wide career opportunities across industries.
- Hands-on experience with modern analytics tools.
- Strong focus on decision-making using data insights.
- Future-oriented course with growing industry relevance.
- Opportunities to work in global companies.
- Enhances problem-solving and analytical skills.
- Scope for career growth and leadership roles.
- Candidates must have a bachelor’s degree from a recognized university.
- Minimum 50% aggregate marks in graduation (may vary as per norms).
- Students from any stream (commerce, science, or arts) can apply.
- Final-year students may also apply (subject to conditions).
- Relaxation for reserved categories as per university rules.
- Admission is based on merit or university criteria.
Here is the MBA admission process at Usha Martin University:
- Fill out the application form (online or offline).
- Provide accurate personal and academic details.
- Submit/upload required documents (graduation mark sheets, certificates).
- The application is reviewed based on eligibility criteria.
- Appear for counseling or personal interview (if required).
- Receive admission offer letter.
- Pay the admission fee to confirm your seat.
- Complete document verification process.
- Report to campus or join online orientation.
- Begin classes as per schedule.
The Master of Business Administration course in Business Intelligence & Data Analytics at Usha Martin University is a postgraduate course consisting of two years with four semesters. The course is designed in such a manner that in the early semesters, the emphasis is on management studies along with basic knowledge of data analysis. In the later semesters, the emphasis is on advanced topics such as predictive analysis, business intelligence tools, and big data technology. There are internships and live projects included in the course, so by the end of the course, the students are ready to face the industry.
- To develop strong management and leadership skills.
- To provide knowledge of business intelligence and analytics tools.
- To enhance analytical and data interpretation abilities.
- To train students in data-driven decision-making.
- To provide hands-on experience with real-world data.
- To develop problem-solving and strategic thinking skills.
- To prepare students for managerial roles in analytics.
- To build understanding of big data and predictive analytics.
- To encourage innovation and research in business analytics.
- To equip students with industry-relevant skills.
- Strong understanding of business management and analytics concepts.
- Ability to analyze and interpret complex data sets.
- Proficiency in tools like Power BI, Excel, and analytics platforms.
- Skills to support strategic business decisions using data.
- Improved problem-solving and critical thinking abilities.
- Ability to work in data-driven business environments.
- Experience in handling projects and real-world case studies.
- Enhanced communication and presentation skills.
- Readiness for managerial and analytical roles.
- Capability to adapt to evolving business technologies.
Here are the top career options after completing this MBA program:
- Business Analyst
- Data Analyst
- Business Intelligence Analyst
- Data Scientist
- Analytics Consultant
- Market Research Analyst
- Operations Analyst
- Financial Analyst
- Product Analyst
- Strategy Consultant
These roles offer excellent growth opportunities in industries such as IT, finance, consulting, e-commerce, healthcare, and retail.
Programme Curriculum
| S. No. | Course Code | Title of the Course | Lecture Hours/ Weeks | Total Credits | ||
| L | T | P | ||||
| 1 | GSC101 | Physics | 3 | 1 | 0 | 04 |
| 2 | GSC102 | Mathematics – I | 3 | 1 | 0 | 04 |
| 3 | GEC101 | Basic Electrical Engineering | 3 | 1 | 0 | 04 |
| 4 | GEC102 | Engineering Graphics and Design | 1 | 0 | 0 | 01 |
| 5 | GSC111 | Physics (Semi-conductor) Lab | 0 | 0 | 3 | 1.5 |
| 6 | GEC111 | Basic Electrical Engineering Lab | 0 | 0 | 2 | 01 |
| 7 | GEC112 | Engineering Graphics and Design Lab | 0 | 0 | 4 | 02 |
| 8 | MC111/ 112/113/ 114 | Choice of: NCC/NSS/PT & Games | 0 | 0 | 2 | NC |
| Total Credits | 17.5 | |||||
| S. No. | Course Code | Title of the Course | Lecture Hours/ Weeks | Total Credits | ||
| L | T | P | ||||
| 1 | GSC201 | Chemistry | 3 | 1 | 0 | 04 |
| 2 | GSC202 | Mathematics – II | 3 | 1 | 0 | 04 |
| 3 | GEC201 | Programming for Problem Solving | 3 | 0 | 0 | 03 |
| 4 | GEC202 | Workshop/Manufacturing Practices | 1 | 0 | 0 | 01 |
| 5 | HSC201 | English | 2 | 0 | 0 | 02 |
| 6 | GSC211 | Chemistry Lab | 0 | 0 | 3 | 1.5 |
| 7 | GEC211 | Programming for Problem Solving Lab | 0 | 0 | 4 | 02 |
| 8 | GEC212 | Workshop/Manufacturing Practices | 0 | 0 | 4 | 02 |
| 9 | HSC211 | English Lab | 0 | 0 | 2 | 01 |
| 10 | MC211/ 212/213/ 214 | Choice of: NCC/NSS/PT & Games | 0 | 0 | 2 | NC |
| Total Credits | 20.5 | |||||
| S. No. | Course Code | Title of the Course | Lecture Hours/ Weeks | Total Credits | ||
| L | T | P | ||||
| 1 | GSC301 | Mathematics – III | 2 | 0 | 0 | 02 |
| 2 | GEC303 | Basic Electronics | 3 | 0 | 0 | 03 |
| 3 | CEC301 | Solid Mechanics | 3 | 1 | 0 | 04 |
| 4 | CEC302 | Fluid Mechanics | 3 | 0 | 0 | 03 |
| 5 | CEC303 | Building Materials and Construction | 3 | 0 | 0 | 03 |
| 6 | HSC301 | Environmental Science | 2 | 0 | 0 | 02 |
| 7 | CEC311 | Civil Engineering Drawing | 0 | 0 | 4 | 02 |
| 8 | CEC312 | Fluid Mechanics Lab | 0 | 0 | 3 | 1.5 |
| 9 | CEC313 | Building Materials and Construction Lab | 0 | 0 | 3 | 1.5 |
| 10 | MC311/ 312/313/ 314 | Choice of: NCC/NSS/PT & Games | 0 | 0 | 2 | NC |
| Total Credits | 22 | |||||
| S. No. | Course Code | Title of the Course | Lecture Hours/ Weeks | Total Credits | ||
| L | T | P | ||||
| 1 | CEC401 | Structural Analysis – I | 3 | 1 | 0 | 04 |
| 2 | CEC402 | Hydraulics & Hydraulics Machinery | 3 | 0 | 0 | 03 |
| 3 | CEC403 | Geotechnical Engineering | 3 | 0 | 0 | 03 |
| 4 | CEC404 | Surveying | 3 | 0 | 0 | 03 |
| 5 | CEC405 | Environmental Engineering | 3 | 0 | 0 | 03 |
| 6 | CEC406 | Engineering Geology & Rock Mechanics | 3 | 0 | 0 | 03 |
| 7 | CEC411 | Geotechnical Engineering Lab | 0 | 0 | 3 | 1.5 |
| 8 | CEC412 | Surveying Field Work | 0 | 0 | 4 | 2 |
| 9 | CEC413 | Environmental Engineering Lab | 0 | 0 | 3 | 1.5 |
| 10 | MC411/ 412/413/ 414 | Choice of: NCC/NSS/PT & Games | 0 | 0 | 2 | NC |
| Total Credits | 25 | |||||
| S. No. | Course Code | Title of the Course | Lecture Hours/ Weeks | Total Credits | ||
| L | T | P | ||||
| 1 | CEC501 | Transportation Engineering | 3 | 0 | 0 | 03 |
| 2 | CEC502 | Structural Analysis – II | 3 | 1 | 0 | 04 |
| 3 | CEC503 | Structural Design – I | 3 | 1 | 0 | 04 |
| 4 | CEEC___ | Elective I | 3 | 0 | 0 | 03 |
| 5 | OEC___ | Open Elective – I/MOOC | 3 | 0 | 0 | 03 |
| 6 | CEC511 | Transportation Engineering Lab | 0 | 0 | 3 | 1.5 |
| 7 | CEC512 | Structural Design – I Lab | 0 | 0 | 3 | 1.5 |
| 8 | HSC511 | Communication Skills – I | 0 | 0 | 2 | 1 |
| 9 | MC511 | Constitution of India/Essence of Indian Traditional Knowledge | 0 | 0 | 2 | NC |
| Total Credits | 21 | |||||
| S. No. | Course Code | Title of the Course | Lecture Hours/ Weeks | Total Credits | ||
| L | T | P | ||||
| 1 | CEC601 | Earthquake Engineering and Disaster Management | 3 | 0 | 0 | 03 |
| 2 | CEC602 | Structural Design – II | 3 | 1 | 0 | 04 |
| 3 | CEEC___ | Elective – II | 3 | 0 | 0 | 03 |
| 4 | CEEC___ | Elective – III | 3 | 0 | 0 | 03 |
| 5 | OEC___ | Open Elective – II/MOOC | 3 | 0 | 0 | 03 |
| 6 | HSC601 | Professional Communication/Technical Writing | 2 | 0 | 0 | 02 |
| 7 | CEC611 | Structural Design – II Lab | 0 | 0 | 3 | 1.5 |
| 8 | PR611 | Summer Training | 02 | |||
| Total Credits | 21.5 | |||||
| S. No. | Course Code | Title of the Course | Lecture Hours/ Weeks | Total Credits | ||
| L | T | P | ||||
| 1 | CEC701 | Water Resources Engineering | 3 | 0 | 0 | 03 |
| 2 | CEC702 | Construction Engineering & Management | 3 | 0 | 0 | 03 |
| 3 | CEEC___ | Elective – IV | 3 | 0 | 0 | 03 |
| 4 | OEC___ | Open Elective – III/MOOC | 3 | 0 | 0 | 03 |
| 5 | CEC711 | Water Resources Engineering Lab | 0 | 0 | 3 | 1.5 |
| 6 | PR711 | Minor Project | 03 | |||
| Total Credits | 16.5 | |||||
| S. No. | Course Code | Title of the Course | Lecture Hours/ Weeks | Total Credits | ||
| L | T | P | ||||
| 1 | CEC801 | Engineering Economics, Estimation & Costing | 3 | 0 | 0 | 03 |
| 2 | CEEC___ | Elective – V | 3 | 0 | 0 | 03 |
| 3 | OEC___ | Open Elective – IV/MOOC | 3 | 0 | 0 | 03 |
| 6 | PR811 | Research Project / Industry Internship | 10 | |||
| Total Credits | 19 | |||||
Why Choose Usha Martin University for an MBA in Business Intelligence & Data Analytics?
Here are the reasons to choose Usha Martin University for this MBA program:
- Industry-oriented curriculum aligned with current market trends.
- Experienced faculty with academic and industry exposure.
- Focus on practical learning through projects and case studies.
- Hands-on training with modern analytics tools.
- Internship and placement assistance.
- Regular workshops, seminars, and guest lectures.
- Well-developed infrastructure and learning resources.
- Scholarship opportunities for deserving students.
- Emphasis on overall personality development.
- Strong focus on career readiness and employability.
Higher Education Opportunity After MBA Business Intelligence & Data Analytics Program
After the successful completion of the MBA in Business Intelligence & Data Analytics from Usha Martin University, the students have various further growth prospects. They have the option of pursuing a Ph.D. in management, business analytics, data science, etc. The students also have the option of pursuing various certifications like data analytics, artificial intelligence, machine learning, etc. The students also have the option of pursuing various global certifications to move up the corporate ladder.