Business Analytics

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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 measures 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 program 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 program, you can work in corporate roles in the analytics domain.

The program 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 a hands-on experience to use tools such as R, Tableau, Microsoft Excel, and Python in this comprehensive specialized program.

Main Tools & Languages That You Will Learn To Become a Top Data Analyst

R; Tableau; Hadoop; Python; Mysql; Spark; Excel; Power Bi

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For The Better Future

360 DEGREE EDUCATION MODEL

360 DEGREE EDUCATION MODEL

  • A structured 3 tier program to ensure that students acquire necessary soft skills and professional attributes that elevate their employability index.
  • Hands-on experience with campus placement drives which give students exposure and insights into the industry and breed confidence.
  • Rigorous training programs to upgrade and innovate the teaching methodologies to help faculty stay a step ahead in the dynamic field of education.

INFRASTRUCTURE THAT ENCOURAGES EDUCATION

INFRASTRUCTURE THAT ENCOURAGES EDUCATION

  • 40+ Acre Campus
  • 8 Technologically Advanced Multi-storey Buildings
  • 24/7 Wi-Fi Enabled Cloud Campus
  • Guinness Record Holder library including digital resources
  • Audio-Visually Equipped Classrooms
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EXPERT MATRIX

EXPERT MATRIX

  • We have 500+ faculty that includes 100+ Ph. D faculty.
  • Courses taught by experts and designed specifically to improve English language skills, and subject knowledge, required for a successful entrepreneurial journey.
  • The Academic Team comprises of accomplished scientists, researchers, innovators, and entrepreneurs. Marwadi University hosts the highest number of Ph.D faculty in Gujarat.

COURSE
HIGHLIGHTS

How will MBA Business Analytics help you

  • You develop data literacy mindset and understand the dynamics of a progressive, fast-paced business environment.
  • You learn deep analytical skills to apply in your work or further studies.
  • You master technology trends of Data Management, Statistics, Big Data, and Machine Learning.
  • You gain expertise in analyzing data and mining it for business insights.
  • You build confidence to address real-life problems in areas like retail, insurance, operations, finance, banking, and telecom.

For whom is this course advantageous

  • Working professionals in IT/Finance/Statistics
  • Entrepreneurs looking to enhance their skills in Analytics
  • Fresh graduates from Engineering / Mathematics background
  • Final year students completing their graduation on or before April 2019

By the end of the program, 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

Eligibility Criteria

  • Students with 50% or higher marks in B.Com / B.B.A. / B. A. / B. Sc. / B.E. / B. Tech or any other equivalent degree will be considered eligible for the program. Students belonging from SC / ST / OBC with a minimum of 45% of marks in graduation will be eligible for the program.
  • Students with a valid score of CAT, MAT, ATMA, XAT, CMAT or Marwadi University entrance exam or any other Equivalent exam of National repute, with a valid score, will be considered. The
  • shortlisted candidates will be called for Personal Interview.
  • The duration of the program shall be 2 years divided into 4 semesters.

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 of 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.

What are your career options?

  • Business Analyst
  • Business Analyst Industry Expert
  • Business Analyst Project Manager
  • Data Analyst and/or SAS Programme
  • Big Data Analyst (Big Data is a complex and large data set that reveals many patterns, trends, and associations)
  • 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.

MAJOR COMPANIES HIRING
BUSINESS ANALYSTS:

Computer
Labs

  • Oracle Lab
  • CISCO Lab
  • IBM Lab
  • Research & Development Lab
  • Basic Computing Lab
  • Advance
  • Computing Lab
  • Networking Lab
  • Data Processing Lab
  • Object Oriented Programming Lab
  • High Performance Computing Lab
  • Software Engineering Lab
  • Project Lab

Welcome to the
Department of Business Administration!

Hearty Welcome to the Marwadi Education Foundation Group of Institution!

Marwadi Education Foundation has crossed many milestones in its journey of academic and professional excellence and has created a coveted niche in the community of front-ranking institutions.

This institute is dedicated to transforming young students into proficient professionals who would be globally competitive. Committed to imparting value-added management education of international standard together with the holistic development of the personality of students. The college has been envisioned to be an institute promoting, academic and professional excellence, nurturing and sustaining conducive ambiance for sculpting budding talents into management leaders of tomorrow and inculcating professional ethics, cultural value, sensitivity and sense of service towards society. We are confident that we will keep no stone unturned to excel on every academic front.

The institute has achieved commendable progress in attracting and retaining highly qualified faculty, developing high profile academic infrastructure.

Currently, the institute is offering the following:

UG PROGRAMS:

B. COM (HONORS) | BBA HONORS
BBA FINANCIAL MARKETS | BBA | B.COM

PG PROGRAMS:

MBA | MBA(BUSINESS ANALYTICS) | MBA (EXECUTIVE PROGRAM)

We teach the nuts and bolts of Finance, Marketing Management, and HRM. Equally important, though, is our specialized training program that helps aspiring business professionals gain social and cultural knowledge to be successful in the global workplace.

The future prospects of Marwadi Education Foundation are tremendous. We are establishing collaborations with industry-experts. These are exciting times for Marwadi Education Foundation community and we invite the participation of all concerned, in our endeavors. We invite you to visit and join our team, to work together and make the world, ready for better tomorrow and wish all the best to all the students and congratulate them for selecting this institute.

With Best Wishes

Discover a world of opportunities with Marwadi University!
-Dean, Faculty of Business Management & Faculty of Liberal Studies

Teaching Scheme

Semester I
Subject Code Subject Name Category Teaching Scheme (Hours) Credits Theory Marks Tutorial/ Practical Marks Total Marks
Theory Tutorial Practical ESE(E) IA CSE Viva (V) Term work (TW)
01MA1101 Differential and Integral Calculus BS-UC 4 2 0 5 50 30 20 25 25 150
01ME0101 Elements of Mechanical Engineering ES-UC 3 0 2 4 50 30 20 25 25 150
01EC0101 Basics of Electronics Engineering ES-UC 3 0 2 4 50 30 20 25 25 150
01SL0102 / 01SL0103 Reading and Writing for Technology /Speaking and Presentation Skills GN-UE 2 0 0 2 0 30 20 25 25 100
01EE0101 Elements of Electrical Engineering ES-UC 3 0 2 4 50 30 20 25 25 150
01CR0102 Value Education GN-UC 2 0 0 2 0 0 20 50 30 100
01CE0102 Computer Workshop ES-UC 0 0 2 1 0 0 0 25 25 50
01PE0101 Physical Education/Sports/Yoga NCC 0 0 2 0 0 0 0 0 0 0
Total 17 2 10 22 200 150 120 200 180 850

*Computer Workshop is offered to Computer and IT Branch only

Semester II
Subject Code Subject Name Category Teaching Scheme (Hours) Credits Theory Marks Tutorial/ Practical Marks Total Marks
Theory Tutorial Practical ESE(E) IA CSE Viva (V) Term work (TW)
01MA1151 Matrix Algebra and Vector Calculus BS-UC 4 2 0 5 50 30 20 25 25 150
01CE0101 Computer Programming ES-UC 3 0 2 4 50 30 20 25 25 150
01ME0103 Engineering Drawings ES-UC 2 0 4 4 50 30 20 25 25 150
01GS0101/
01GS0102
Physics/Chemistry ES-UC 3 0 2 4 50 30 20 25 25 150
01EN0101 Basics of Environmental Studies ES-UC 2 0 0 2 50 30 20 0 0 100
01EC0102 Digital Electronics ES-UC 3 0 2 4 50 30 20 25 25 150
Total 17 2 10 23 300 180 120 125 125 850
Semester III
Subject Code Subject Name Category Teaching Scheme (Hours) Credits Theory Marks Tutorial/ Practical Marks Total Marks
Theory Tutorial Practical ESE(E) Mid Sem (M) Internal(I) Viva (V) Term work (TW)
01MA0231 Discrete Mathematics and Graph Theory BS-UC 4 2 0 5 50 30 20 25 25 150
01CE0301 Data Structure PC 4 0 2 5 50 30 20 25 25 150
01CE1302 Database Management System PC 3 0 2 4 50 30 20 25 25 150
01IT0301 Data Communication and Networking PC 3 0 2 4 50 30 20 25 25 150
01CE1303 Object Oriented Design and Programming PC 3 0 2 4 50 30 20 25 25 150
01CR0301 Professional Ethics GN-UC 1 0 0 1 0 0 20 50 30 100
01CE0304 Design Thinking and Problem Solving Skills EE 0 0 2 1 0 0 0 25 25 50
Total 18 2 10 24 250  150 120 200 180 900
Semester IV
Subject Code Subject Name Type Teaching Scheme (Hours) Credits Theory Marks Tutorial/ Practical Marks Total Marks
Theory Tutorial Practical ESE(E) Mid Sem (M) Internal(I) Viva (V) Term work (TW)
01CE0401 Operating System PC 4 0 2 5 50 30 20 25 25 150
01CE0402 Computer Organization and Architecture PC 3 2 0 4 50 30 20 25 25 150
01IT0401 Computer Network PC 4 0 2 5 50 30 20 25 25 150
01MA1281 Statistical and Numerical Methods IE 3 2 0 4 50 30 20 25 25 150
01CE0403 Object Oriented Programming with Java PC 4 0 2 5 50 30 20 25 25 150
01CE0405 Human Centric Design Approach EE 0 0 2 1 0 0 0 25 25 50
Total 18 4 8 24 250 150 100 150 150 800
Semester V
Subject Code Subject Name Category Teaching Scheme (Hours) Credits Theory Marks Tutorial/ Practical Marks Total Marks
Theory Tutorial Practical ESE(E) Mid Sem (M) Internal(I) Viva (V) Term work (TW)
01CE0501 Microprocessor Fundamentals & Programming PC 3 0 2 4 50 30 20 25 25 150
01CE0502 Advanced Java Programming PC 4 0 2 5 50 30 20 25 25 150
01CE0503 Design and Analysis of Algorithm PC 4 0 2 5 50 30 20 25 25 150
01CE0504 Theory of Automata and Formal Languages PC 3 0 0 3 50 30 20 0 0 100
01CE05XX/
01IT05XX
Department Elective – 1 PEC 4 0 2 5 50 30 20 25 25 150
01CE0508 Reverse Engineering EE 0 0 2 1 0 0 0 25 25 50
01IT0502 Seminar PC 0 0 2 1 0 0 0 25 25 50
Total 18 0 12 24 250 150 100 150 150 800

Department Elective – 1
1) 01IT0503 – Advanced Computer Network
2) 01CE0506 – Distributed Operating Systems
3) 01CE0507 – Image Processing

Semester VI
Subject Code Subject Name Type Teaching Scheme (Hours) Credits Theory Marks Tutorial/ Practical Marks Total Marks
Theory Tutorial Practical ESE(E) Mid Sem (M) Internal(I) Viva (V) Term work (TW)
01IT0601 Software Engineering PC 3 0 2 4 50 30 20 25 25 150
01CE0601 Compiler Design PC 3 0 2 4 50 30 20 25 25 150
01CE0602 .NET Technologies PC 4 0 2 5 50 30 20 25 25 150
01IT0602 Web Technology PC 3 0 2 4 50 30 20 25 25 150
01CE06XX Department Elective – 2 PEC 4 0 2 5 50 30 20 25 25 150
01CE0606 Design Engineering and Project Management EE 0 0 2 1 0 0 0 25 25 50
01CR0501 Business Benchmark UC 1 0 0 1 0 0 20 50 30 100
Total 18 0 12 24 200 120 120 200 180 900

Department Elective – 2
1) 01CE0603– Computer Security
2) 01CE0604 – Cyber Security
3) 01CE0605 – Network Security

Semester VII
Subject Code Subject Name Type Teaching Scheme (Hours) Credits Theory Marks Tutorial/ Practical Marks Total Marks
Theory Tutorial Practical ESE(E) Mid Sem (M) Internal(I) Viva (V) Term work (TW)
01IT0701 Advanced Web Technologies PC 3 0 2 4 50 30 20 25 25 150
01CE0701 Mobile Computing PC 3 0 2 4 50 30 20 25 25 150
01CE0702 Artificial Intelligence PC 4 0 2 5 50 30 20 25 25 150
01CE07XX Department Elective – 3 PEC 4 0 2 5 50 30 20 25 25 150
01CE07XX Department Elective – 4 PEC 4 0 2 5 50 30 20 25 25 150
01IT0703 Major Project – 1 PC 0 0 2 1 0 0 0 50 50 100
Total 18 0 12 24 250 150 100 175 175 850
Department Elective – 3
1) 01CE0703– iOS Programming
2) 01CE0704 – Android Programming
3) 01CE0705 – Programming with Python
4) 01CE0706– Advanced .NET TechnologiesDepartment Elective – 4
1) 01CE0707– Data Mining and Information Retrieval
2) 01CE0708 – Software Architecture
3) 01CE0709 – Computational Intelligence
Semester VIII
Subject Code Subject Name Type Teaching Scheme (Hours) Credits Theory Marks Tutorial/ Practical Marks Total Marks
Theory Tutorial Practical ESE(E) Mid Sem (M) Internal(I) Viva (V) Term work (TW)
01CE08XX Department Elective – 5 PEC 4 0 2 5 50 30 20 25 25 150
01CE08XX Department Elective – 6 PEC 4 0 2 5 50 30 20 25 25 150
01IT0801 Major Project – 2 PC 0 0 18 9 0 0 0 200 200 400
Total 8 0 22 19 100 60 40 250 250 700
Department Elective – 5
1) 01CE0801– Natural Language Processing
2) 01CE0802 – Big Data and Analytics
3) 01CE0803 – Cloud ComputingDepartment Elective – 6
1) 01CE0804– Machine Learning
2) 01CE0805 – Business Intelligence
3) 01CE0806 – Internet of Things

Syllabus

Semester I
Subject Code Subject Name Credits Syllabus
Core Management Courses
03BM0115 Principles of Management 3 Download
03BM0151 Accounting for Decision Making 3 Download
03BM0152 Economics for Decision Making 3 Download
03BM0153 Human Resource Management 3 Download
Domain Courses
03BM0154 Business Statistics and Analytics for Decision making 3 Download
03BM0155 Database Management Systems 3 Download
03BM0156 Business Intelligence 3 Download
Soft-Skill based Subjects
03BM0117 Managerial Skills for Effectiveness 3 Download
24

*Computer Workshop is offered to Computer and IT Branch only

Semester II
Subject Code Subject Name Credits Syllabus
Core Management Courses
03BM0251 Marketing Management 3 Download
03BM0252 Production & Operations Management 3 Download
03BM0253 Financial Management 3 Download
03BM0115 Organisational Behaviour 3 Download
Domain Courses
03BM0254 Business Forecasting 3 Download
03BM0255 Data Science using R 3 Download
03BM0256 Operation Research Applications 3 Download
03BM0257 Data Mining for Business Decisions 3 Download
Soft-Skill based Subjects
03BM0216 Advanced Corporate Communication 3 Download
27

Placement
Stories

PLACEMENT IN SWIGGY AS OPERATIONAL MANAGER FOR ENTIRE WEST REGION.
Every year, we have around 150+ renowned companies visiting Marwadi University for campus recruitment. The education and training that we receive at Marwadi University give us an edge in the market. We are so well trained by our Learning and development department and Placement cell who work hand-in-hand, equipping us with all 21st-century skills. I was recruited in campus interview and currently, I am placed in Bangalore for my internship training. Thanks to Marwadi University, I have begun very well – and as they say, ‘Well begun is half done’, right?

DHRUMIL KOTAK – MBA, MARKETING – 2019

PLACEMENT IN ZOMATO AS REGIONAL MANAGER - 2019.
I joined Marwadi University in 2015. From that day my journey to grow and thrive began. My faculty has played a pivotal role in carving my destiny. Our ‘Learning and Development Department’ trained us with 21st-century soft skills – a must in today’s jobmarket. Thank you, Noor Ali Sir, you made our language classes stimulating. Through our Marwadi Placement Department I started my career as a subordinate in Zomato – but thanks to the skills I learned at Marwadi – within 21 days I was promoted to the post of a regional manager in ‘Zomato’. And my package is a whopping 6 lakh+.  Thank you, MU and the placement cell, – who helped me at every juncture.

RITUL SHARMA PASSED MECHANICAL ENGINEERING IN 2019

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