MASTER OF BUSINESS ADMINISTRATION (BUSINESS ANALYTICS)
Overview
Business analytics refers to the skills, technologies, practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. It focuses on developing new insights and understanding of business performance based on data and statistical methods. In contrast, business intelligence traditionally focuses on using a consistent set of metrics, to both measure past performance and guide business planning, which is also based on data and statistical methods.‎
The first stage of business analytics is descriptive analytics, which still accounts for the majority of all business analytics today. Descriptive analytics looks at past performance and understands that performance by mining historical data to look for the reasons behind past success or failure. Most management reporting – such as sales, marketing, operations, and finance – uses this type of postmortem analysis.‎‎
The next phase is predictive analytics. Predictive analytics answers the question of what is likely to happen. This is when historical data is combined with rules, algorithms, and occasionally external data to determine the probable future outcome of an event or the likelihood of a situation occurring.‎‎
The final phase is prescriptive analytics, which goes beyond predicting future outcomes by also suggesting actions to benefit from the predictions and showing the implications of each decision option. Prescriptive analytics not only anticipates what will happen and when it will happen but also why it will happen. Prescriptive analytics ingests hybrid data, a combination of structured (numbers, categories) and unstructured data (videos, images, sounds, texts), and business rules to predict what lies ahead and to prescribe how to take advantage of this predicted future without compromising other priorities.‎‎
MBA Business Analytics programme is intended to develop skills, improve analytics competency and provide in-depth knowledge for handling Data and Business Analytics tools. On successful completion of the programme, you can work in corporate roles in the analytics domain.‎
The programme provides a detailed study in Data and Decisions, Data Mining Techniques, Predictive Analytics, Machine Learning, and Artificial Intelligence, Visual Analytics and Big Data Analytics. You also get hands-on experience to use tools such as R, Tableau, Microsoft Excel, and Python in this comprehensive specialized programme.‎
The first stage of business analytics is descriptive analytics, which still accounts for the majority of all business analytics today. Descriptive analytics looks at past performance and understands that performance by mining historical data to look for the reasons behind past success or failure. Most management reporting – such as sales, marketing, operations, and finance – uses this type of postmortem analysis.‎‎
The next phase is predictive analytics. Predictive analytics answers the question of what is likely to happen. This is when historical data is combined with rules, algorithms, and occasionally external data to determine the probable future outcome of an event or the likelihood of a situation occurring.‎‎
The final phase is prescriptive analytics, which goes beyond predicting future outcomes by also suggesting actions to benefit from the predictions and showing the implications of each decision option. Prescriptive analytics not only anticipates what will happen and when it will happen but also why it will happen. Prescriptive analytics ingests hybrid data, a combination of structured (numbers, categories) and unstructured data (videos, images, sounds, texts), and business rules to predict what lies ahead and to prescribe how to take advantage of this predicted future without compromising other priorities.‎‎
MBA Business Analytics programme is intended to develop skills, improve analytics competency and provide in-depth knowledge for handling Data and Business Analytics tools. On successful completion of the programme, you can work in corporate roles in the analytics domain.‎
The programme provides a detailed study in Data and Decisions, Data Mining Techniques, Predictive Analytics, Machine Learning, and Artificial Intelligence, Visual Analytics and Big Data Analytics. You also get hands-on experience to use tools such as R, Tableau, Microsoft Excel, and Python in this comprehensive specialized programme.‎
Educational
Objectives
Develop data literacy mindset and understanding of the dynamics of a progressive, fast-paced business environment. To teach deep analytical skills to apply in their work or further studies. To make them master the technology trends of Data Management, Statistics, Big Data, and Machine Learning. To provide expertise in analyzing data and mining it for business insights. To help them build confidence to address real-life problems in areas like retail, insurance, operations, finance, banking, and telecom. Eligibility Criteria
| For Indian and International Students | ||
|---|---|---|
| For pursuing MBA (Business Analytics), 50% in UG (45% for reserved category) + Valid score of CMAT (Preferable). Shortlisted candidates will be called for Personal Interview. An equivalent qualification is necessary for International Students. |
Admission Process
Through Admission Committee for Professional Courses (ACPC)
Once you generate the PIN from the bank through an online or offline process,
Once you generate the PIN from the bank through an online or offline process,
Register yourself on
Fill the Application Details
Choice Filling
Mock Rounds
(1, 2, 3..)
(1, 2, 3..)
You’re on the path to DISCOVER yourself
Reporting at College
Actual Admission and Token Fee Payment
Admission Process
Through Admission Committee for Professional Courses (ACPC) Once you generate the PIN from the bank through an online or offline process,
Register
yourself on
yourself on
Fill the
Application
Details
Application
Details
Choice
Filling
Filling
Mock
Rounds
(1, 2, 3..)
Rounds
(1, 2, 3..)
Actual
Admission
and Token
Fee Payment
Admission
and Token
Fee Payment
Reporting at
College
College
You’re on the
path to DISCOVER
yourself
path to DISCOVER
yourself
Fee structure
The programme of Masters in Business Administration (Business Analytics) is of 2 Years comprising 4 Semesters.
| For Indian Student (INR) | ||
|---|---|---|
| MBA (Business Analytics) | 2 Years | 75000/- (Per Sem) |
| For International Student (USD) | ||
|---|---|---|
| MBA (Business Analytics) | 2 Years | 2000/- (Annual) |
Career Opportunities
Why Study Business Analytics?
Ranked #5 high paid jobs in India by Report of Indian Express – 2017
According to a study, India has job vacancies for 50,000 – 1,00,000 data analytics professionals
Contributes to your organization’s success and helps you lead with unparalleled ideas
Prepares you to be a 21st-century leader and be the core decision-maker of your organization
A global shortage of Business Analysts and Data Scientists puts you in high demand
Gets you a competitive edge to work with large, professionally managed corporate and be paid more than your counterparts
The demand for Data Analytics professionals has doubled in the last year.
Expected ex-potential growth: 70% surveyed companies said they plan to start hiring Data Professionals in the next three years.
Data analytics and Business Intelligence are popular skills, along with skills such as Data Science, Machine Learning and Data Engineering.
Placement and Packages
Highest Package: 8 LPA
AVG Package: 4.5 LPA
Marwadi University’s Placement Department has a strong track record of placements in many reputed companies belonging to different strata. The big-shot corporate world is turning its way towards Marwadi University from diverse locations across the globe to hire our students. Companies like Google, Amazon, IBM, TCS, Capgemini, Wipro and many more.
Ranked #5 high paid jobs in India by Report of Indian Express – 2017According to a study, India has job vacancies for 50,000 – 1,00,000 data analytics professionalsContributes to your organization’s success and helps you lead with unparalleled ideasPrepares you to be a 21st-century leader and be the core decision-maker of your organizationA global shortage of Business Analysts and Data Scientists puts you in high demandGets you a competitive edge to work with large, professionally managed corporate and be paid more than your counterpartsThe demand for Data Analytics professionals has doubled in the last year.Expected ex-potential growth: 70% surveyed companies said they plan to start hiring Data Professionals in the next three years.Data analytics and Business Intelligence are popular skills, along with skills such as Data Science, Machine Learning and Data Engineering.Placement and Packages
Highest Package: 8 LPA
AVG Package: 4.5 LPA
Marwadi University’s Placement Department has a strong track record of placements in many reputed companies belonging to different strata. The big-shot corporate world is turning its way towards Marwadi University from diverse locations across the globe to hire our students. Companies like Google, Amazon, IBM, TCS, Capgemini, Wipro and many more.
Career Options
Business Analyst
Business Analyst Industry Expert
Business Analyst Project Manager
Data
Analyst
Business Analyst
Business Analyst Industry Expert
Business Analyst Project Manager
Data
Analyst
Big Data
Analyst
Data Warehousing Expert
Business Intelligence Expert
Data Mining Expert
Industries such as financial services, retail, manufacturing, healthcare, energy, oil and gas, telecom, social media, sports, gaming, e-governance, and e-commerce will offer adequate employment scope for you.
Student Outcomes
By the end of the programme, the student will be able to
Possess highly marketable skills to use leading statistical methods and data visualization tools for managing dynamic data
Leverage your own innovative ability to use descriptive analytics and predictive analytics, set up a hypothesis test and understand non-parametric tests
Know how to derive meaning from Big Data and apply emerging popular technologies and analytical techniques or models
Gain the expertise to use a wide range of modern statistical tools and software packages like R, Python, Spark, Excel, Tableau, MySQL, Power BI
Enable a seamless absorption in applying Analytics to real-world business contexts and communicate effectively the actionable plans to key stakeholders
Possess highly marketable skills to use leading statistical methods and data visualization tools for managing dynamic data Leverage your own innovative ability to use descriptive analytics and predictive analytics, set up a hypothesis test and understand non-parametric tests Know how to derive meaning from Big Data and apply emerging popular technologies and analytical techniques or models Gain the expertise to use a wide range of modern statistical tools and software packages like R, Python, Spark, Excel, Tableau, MySQL, Power BI Enable a seamless absorption in applying Analytics to real-world business contexts and communicate effectively the actionable plans to key stakeholders Curriculum
MBA (Business Analytics) Course Details
Sem 1
Sem 2
Sem 3
Sem 4
Sem 1
| Subject Code | Subject Name | Credits | Internal Marks(Total 50) | End Term Exam(Total 50) | Total Marks | |||
| CSE | IA | Term Work(TW) | Theory | Practical/Viva | ||||
| 04MB0101 | Accounting for Managers | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0111 | Economics for Decision Making | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0104 | Organisational Behaviour | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0105 | Business Analytics | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0106 | Business Communication | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0112 | Statistics for Decision Making | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB1113 | Introduction to R-Studio | 2 | 20 | 30 (Practical Exam) | 0 | 50 | 100 | |
| 04MB1109 | Advanced Excel | 2 | 0 | 50 | 0 | 50 | 100 | |
| 04MB1114 | SPSS | 2 | 20 | 30 | 0 | 50 | 100 | |
| Total | 24 | |||||||
Sem 2
| Subject Code | Subject Name | Credits | Internal Marks(Total 50) | End Term Exam(Total 50) | Total Marks | |||
| CSE | IA | Term Work(TW) | Theory | Practical/Viva | ||||
| 04MB0201 | Financial Management | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0202 | Human Resource Management | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB01203 | Marketing Management | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB1204 | Production & Operations Management | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0205 | Business Research Methods | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0206 | Quantitive Techniques for Decision Making | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0211 | Data Mining for Business Analytics using R | 3 | 20 | 30 | 0 | 50 | 100 | |
| 04MB0212 | Business Forecasting using Eviews-I | 2 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0213 | Database Management System | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0214 | Python Programming | 2 | 20 | 30 | 0 | 50 | 100 | |
| Total | 28 | |||||||
Sem 3
| Subject Code | Subject Name | Credits | Internal Marks(Total 50) | End Term Exam(Total 50) | Total Marks | |||
| CSE | IA | Term Work(TW) | Theory | Practical/Viva | ||||
| 04MB0301 | Strategic Management | 3 | 20 | 30 | 50 | 0 | 100 | |
| Any three from the following: | ||||||||
| 04MB0364 | Supply Chain Analytics | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0365 | Marketing Analytics | 3 | 20 | 30 | 0 | 50 | 100 | |
| 04MB0366 | Financial Analytics | 3 | 20 | 30 | 0 | 50 | 100 | |
| 04MB0320 | HR Analytics | 3 | 20 | 30 | 0 | 50 | 100 | |
| 04MB0367 | Data Science using Python | 2 | 20 | 30 | 0 | 50 | 100 | |
| 04MB0368 | Business Intelligence | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0369 | Business Forecasting using Eviews-II | 2 | 20 | 30 | 50 | 0 | 100 | |
| General Elective (Any One) | ||||||||
| 04MB0351 | Project Management | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0352 | Creativity & Innovation | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0353 | Econometrics | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0354 | Personal Financial Management | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0355 | Customer Relationship Management | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0356 | Value Chain Management | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0357 | Emotional Intelligence | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0358 | Psychometric Testing | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0359 | Managerial Psychology | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0360 | Summer Internship Project | 3 | 0 | 0 | 0 | 100 | 100 | |
| Total | 25 | |||||||
Sem 4
| Subject Code | Subject Name | Credits | Internal Marks(Total 50) | End Term Exam(Total 50) | Total Marks | |||
| CSE | IA | Term Work(TW) | Theory | Practical/Viva | ||||
| 04MB0401 | Business Ethics & Corporate Governance | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0402 | Management Information System | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0452 | Tableau | 2 | 20 | 30 (Practical Exam) | 0 | 50 | 100 | |
| 04MB0453 | Predictive Analytics | 2 | 20 | 30 (Practical Exam) | 0 | 50 | 100 | |
| 04MB0454 | Big Data Analytics | 2 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0455 | Power BI | 2 | 20 | 30 | 0 | 50 | 100 | |
| 04MB0456 | Hadoop & Apache Spark | 2 | 20 | 30 | 0 | 50 | 100 | |
| Any one from the following: | ||||||||
| 04MB0457 | Matlab | 2 | 20 | 30 | 0 | 50 | 100 | |
| 04MB0458 | STATA | 2 | 20 | 30 | 0 | 50 | 100 | |
| General Elective (Any One) | ||||||||
| 04MB0439 | Preparedness & Response in Disaster Management | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0440 | Design Thinking | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0441 | Intellectual Property Rights | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0442 | Leadership – Theory & Practice | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0443 | Energy Business Management | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0444 | Event Management | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0445 | Public Policy | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0446 | Public Finance & Policy | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0447 | Stress Management | 3 | 20 | 30 | 50 | 0 | 100 | |
| 04MB0448 | Comprehensive Project | 6 | ||||||
| Total | 27 | |||||||
Sem 1
Sem 2
Sem 3
Sem 4
Sem 1
| Serial No. | Course code | Course name | Course Category | Credits |
| 1 | 03BM0115 | Principles of Management | Core | 3 |
| 2 | 03BM0151 | Accounting for Decision Making | Core | 3 |
| 3 | 03BM1152 | Economics for Decision Making | Core | 3 |
| 4 | 03BM0153 | Human Resource Management | Core | 3 |
| 5 | 03BM0154 | Business Statistics and Analytics for Decision making | Domain | 3 |
| 6 | 03BM0155 | Database Management Systems | Domain | 3 |
| 7 | 03BM0156 | Business Intelligence | Domain | 3 |
| 8 | 03BM0117 | Managerial Skills for Effectiveness | Skill Development | 3 |
Sem 2
| Serial No. | Course code | Course name | Course Category | Credits |
| 1 | 03BM0251 | Marketing Management | Core | 3 |
| 2 | 03BM0252 | Production & Operations Management | Core | 3 |
| 3 | 03BM0253 | Financial Management | Core | 3 |
| 4 | 03BM0115 | Organisational Behaviour | Core | 3 |
| 5 | 03BM0254 | Business Forecasting | Domain | 3 |
| 6 | 03BM1255 | Data Science using R | Domain | 3 |
| 7 | 03BM0256 | Operation Research Applications | Domain | 3 |
| 8 | 03BM0257 | Data Mining for Business Decisions | Domain | 3 |
| 9 | 03BM0216 | Advanced Corporate Communication | Skill Enhancement | 3 |
Sem 3
| Serial No. | Course code | Course name | Course Category | Credits |
| 1 | 03BM0351 | Strategic Management | Core | 3 |
| 2 | 03BM0352 | Research Methods | Core | 3 |
| 3 | 03BM0353 | Financial Modeling and Analytics | Domain | 3 |
| 4 | 03BM0354 | Descriptive & Prescriptive Analytics using R | Domain | 3 |
| 5 | 03BM0355 | Marketing Analytics | Domain | 3 |
| 6 | 03BM0356 | Supply Chain Analytics | Domain | 3 |
| 7 | 03BM0312 | Investment Analysis and Protfolio Management | Core Specialization Finance | 3 |
| 8 | 03BM0429 | Financial Markets and Institutions | Core Specialization Finance | 3 |
| 9 | 03BM0357 | Compensation and Benefits Management | Core Specialization HRM | 3 |
| 10 | 03BM0416 | Strategic HRM | Core Specialization HRM | 3 |
| 11 | 03BM0430 | Sales and Distribution Management | Core Specialization Marketing | 3 |
| 12 | 03BM0358 | Digital and Social Media Analytics | Core Specialization Marketing | 3 |
| 13 | 03BM0359 | Planning, Structuring and Financing Small Business | Core Specialization Entrepreneurship | 3 |
| 14 | 03BM0305 | Entrepreneurship and Managing Start-ups | Core Specialization Entrepreneurship | 3 |
| 15 | 03BM0360 | Python Programming | Skill Enhancement | 3 |
| 16 | 03BM01303 | Internship/Capstone Minor | Core | 3 |
Sem 4
| Serial No. | Course code | Course name | Course Category | Credits |
| 1 | 03BM0451 | Indian Ethos and Value System | Core | 3 |
| 2 | 03BM0452 | Big Data Analytics | Domain | 3 |
| 3 | 03BM0453 | Predictive Analytics using R | Domain | 3 |
| 4 | 03BM0306 | Corporate Taxation | Core Specialization Finance | 3 |
| 5 | 03BM0454 | Project Appraisal and Finance | Core Specialization Finance | 3 |
| 6 | 03BM0455 | Human Resource Metric and Analytics | Core Specialization HRM | 3 |
| 7 | 03BM0456 | Performance Management System | Core Specialization HRM | 3 |
| 8 | 03BM0457 | Supply Chain and Logistic Management | Core Specialization Marketing | 3 |
| 9 | 03BM0314 | Marketing Communication | Core Specialization Marketing | 3 |
| 10 | 03BM0458 | Marketing for Small Business | Core Specialization Entrepreneurship | 3 |
| 11 | 03BM0459 | Quality Management | Core Specialization Entrepreneurship | 3 |
| 12 | 03BM0460 | Hadoop & Apache Spark | Skill Enhancement | 3 |
| 13 | 03BM1437 | Comprehensive Project | Core | 6 |
Facilities
Lab
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Library
There are two main libraries which make up the MU Learning Resource Centre. Specialist collections, use of up-to-date technology, and a team of enthusiastic and dedicated staff all combined to form a library which serves the Users of the Marwadi Education as well as contributes towards the research needs of the Institution, and is one of the best ICT-equipped academic libraries in the region.
Fully equipped with RFID (Radio Frequency Identification Device) Technology
Specially devised and designed Self KIOSK for Self Check in & Check out
E-Resource Lab having 60+ computer systems with latest configuration to assist for online research and resources
Specially devised and designed Mobile Application having features of; Intimation, Alerts, History, Account Status and Books search facilities
Connected with other libraries and resource centers to retrieve information resources worldwide Separate Study rooms and discussion rooms
Additional Transportation facility for special Late Evening & Sunday for Library users
More than 50000 books in the library
Fully equipped with RFID (Radio Frequency Identification Device) TechnologySpecially devised and designed Self KIOSK for Self Check in & Check outE-Resource Lab having 60+ computer systems with latest configuration to assist for online research and resourcesSpecially devised and designed Mobile Application having features of; Intimation, Alerts, History, Account Status and Books search facilitiesConnected with other libraries and resource centers to retrieve information resources worldwide Separate Study rooms and discussion roomsAdditional Transportation facility for special Late Evening & Sunday for Library usersMore than 50000 books in the library Scholarship
Scholarships can be availed upon securing 60% and Above in Aggregate in Graduation (any stream) or on a Valid CMAT scorecard
Campus Facilities
Impressive Infrastructure IT Enabled Infrastructure Sports Infrastructure State-of-the-art Classrooms Hostels with Gymnasium Library with 50000+ Books Academic & Cultural Events
Dean's Message
Dr Sunil Jakhoria,
Dean, Faculty of Management Studies
Dean, Faculty of Management Studies
The Faculty of Management Studies (FMS) runs two full time MBA programmes. MBA and MBA in Business Analytics. The department provides knowledge, skills and aptitude to equip our MBA graduates to face the VUCA (volatility, uncertainty, complexity, and ambiguity) world. It is becoming clearer that future roles will require new skills and innovative techniques for problem-solving. Essential skills like adaptability, ability to handle a VUCA world, digital agility and interpersonal skills are replacing the old skill framework
Keeping the changing work environment in mind, Faculty of Business Management Marwadi University has upgraded its MBA programme to meet the needs of the ever changing environment. The MBA is now updated with nine specialization namely Finance, Marketing, Human Resources, International Business, Entrepreneurship, Banking and Insurance, Operations Management, Logistic and Supply Chain Management and IT & Systems
The future job requirement will be high tech skills. Demand is increasing rapidly for emerging technologies like Big Data Analytics, Artificial Intelligence, Cyber Security, Robotics, the Internet of Things, Social Media, Cloud Computing & Virtual Reality. Keeping these future job skills in mind, the Faculty of Management Studies at Marwadi University has introduced MBA in Business Analytics programme. The two-year full-time MBA programme will enable students to equip themselves with the necessary technical, analytical, and managerial skills to take up analytical roles
The programme will focus on technical skills like Advance excel, SPSS, R-Programing, python, Eviews, Tabelu, PowerBI, Hadoop & Apache Spark, and STATA and analytical skills like business analytics, data mining & business intelligence.
To make the students industry ready, the programme focuses on building employability through corporate readiness programme and employability skills programme. The students are extensively trained on management fundamentals, domain expertise, aptitude, and GD & PI to ace the campus interview.
The Department has an excellent faculty base, a great learning environment, and strong academic programmes to make the students industry ready.
Come join us to be part of a wonderful MBA journey.
Keeping the changing work environment in mind, Faculty of Business Management Marwadi University has upgraded its MBA programme to meet the needs of the ever changing environment. The MBA is now updated with nine specialization namely Finance, Marketing, Human Resources, International Business, Entrepreneurship, Banking and Insurance, Operations Management, Logistic and Supply Chain Management and IT & Systems
The future job requirement will be high tech skills. Demand is increasing rapidly for emerging technologies like Big Data Analytics, Artificial Intelligence, Cyber Security, Robotics, the Internet of Things, Social Media, Cloud Computing & Virtual Reality. Keeping these future job skills in mind, the Faculty of Management Studies at Marwadi University has introduced MBA in Business Analytics programme. The two-year full-time MBA programme will enable students to equip themselves with the necessary technical, analytical, and managerial skills to take up analytical roles
The programme will focus on technical skills like Advance excel, SPSS, R-Programing, python, Eviews, Tabelu, PowerBI, Hadoop & Apache Spark, and STATA and analytical skills like business analytics, data mining & business intelligence.
To make the students industry ready, the programme focuses on building employability through corporate readiness programme and employability skills programme. The students are extensively trained on management fundamentals, domain expertise, aptitude, and GD & PI to ace the campus interview.
The Department has an excellent faculty base, a great learning environment, and strong academic programmes to make the students industry ready.
Come join us to be part of a wonderful MBA journey.
Our Recruiters
Successful
Alumni
Faculties
FAQ
Q. Is there any Loan Facility Available ?
There are various kinds of scholarships and financial aid available at MU. Marwadi University has made special arrangements with State Bank of India, Bank of India, Central Bank of India, HDFC Bank and other private Banks for speedy sanctioning and dispersal of Educational and Student Loan to students taking admission.
https://www.marwadiuniversity.ac.in/student-loan/
https://www.marwadiuniversity.ac.in/student-loan/
Q. Is there any Scholarship Available ?
A student can avail various scholarships and financial aids at MU. There are International Scholarships, GATE Scholarship, Vidhyalaxmi Yojana, GPAT Scholarship, and alike. You can contact the University and get all the guidance related to Student Loan.
https://www.marwadiuniversity.ac.in/student-loan/
https://www.marwadiuniversity.ac.in/student-loan/
Q. How is the Placement at Marwadi University ?
Marwadi University provides 100% Placement Assistance and Opportunities. So much so that in the previous academic year, we hosted more than 480 companies for placement. If the students are dedicated enough with regular work and follow-ups, they are sure to receive placement in well-known companies with a worthy package. You can contact the Placement and Corporate Relations Department and go through Placement News to know more about it.
Q. How to Reach MU ?
Marwadi University is located on Rajkot-Morbi Road. You can take a city bus to Madhapar Chowk and from there, a Rickshaw Ride will drop you to Marwadi University which is a landmark known by all local drivers. It is 10 km from Bus Station, 12 km from Airport, and 10 km from Railway Station. You can easily find it on Google Maps if you want to self-drive to the University.
Q. Is there a Hostel Facility available at Marwadi University ?
Yes, Marwadi University has 6 hostels with a capacity of more than 3500 students. Many National and International students stay here and feel at home. There are ample facilities available at MU hostel. You can inquire about the hostel when you take admission and get accommodated in your new home.
Q. What is the Fee Structure of Degree Programmes at Marwadi University ?
Fee Structure at Marwadi University is different across various courses at UG and PG level. You can contact the Admission Department for knowing the Fees Structure of various courses offered at MU.
Q. How to Apply for Admission at Marwadi University? What form to fill ?
You can apply online by filling the Application form to start your admission process. If you do not want to fill the application online, you can visit the University for walk-in admissions anytime.
Q. Is Marwadi University recognised by the Government ?
Marwadi University is UGC (University Grants Commission) approved/listed. You can find the name of Marwadi University under the list of UGC approved Universities. MU is also the only institute that is given the NAAC A+ grade in Gujarat.
Q. What all Documents are necessary to bring in while joining the University ?
While you come for admissions, you need to carry your HSC and SSC results, school leaving certificate, JEE score card & registration slip (ACPC). We advise you to keep originals along with photocopies of the same. If you are taking admissions for a Master’s degree, you need to also keep the Bachelor’s Degree Certificate and Marksheet, and any other examination’s scorecard if applicable along with the previously mentioned documents. (GATE score, CMAT, CAT score, GPAT score)
Q. Is there any Medical Facility provided ?
Yes, first-aid medical kits and assistance are available on campus. There is also an ambulance available 24/7 to take students off campus for any kind of emergency.
International Airport 
Railway Station 
GSRTC Bus Port 
