Business Analytics

Why Business Analytics?

Analysing data allows an understanding of both the business and the industry in which it operates, ensuring that a company is able to make choices that help them grow. More specifically, business analytics provides:

Clarity: Knowing where a company stands in the industry or a particular niche provides the company with the required clarity to develop effective strategies to position itself better in the future.

Competitiveness: If a company does not analyse the vast amounts of data it is exposed to, it might drown in information, and stay behind the competition.

Timeliness: Clear insight into each aspect of the business empowers easy and fast decision-making that yields positive results.

Customer Insights: Analytics gives companies an insight into their customers’ behaviour, needs, and pain points. It also makes it possible for a company to understand the public opinion of its brand, to follow the results of various marketing campaigns, and strategise effectively.


About the Programme

This programme provides an introduction to Business Analytics for all students, including those with no prior analytics experience. The students will learn how data analysts describe, predict, and inform business decisions in the specific functional area of Marketing, Human Resources, Finance, and Operations. The course shall facilitate in developing basic data literacy and an analytic mindset that will help the students make strategic decisions based on data. In the final project, the students will apply their skills to interpret a real-world data set and provide appropriate business strategy recommendations.

Learning Outcomes

  • Explain how data is used for making various business decisions.
  • Understand how data analysis, visualisation and prediction are used in contemporary business scenarios.
  • Basics of the model building using supply and demand for various business scenarios.
  • Solve business problems with data-driven decision-making.
  • Understand and work with business analytics tools

The proposed programmes for the year 2020-21 are:

Diploma in Business Analytics 30 credits over 2 semesters, full-time
Certificate Programme in Business Analytics 15 credits in one semester, full- time
15 credits over two semesters, part-time

Who can join the programmes?

The Diploma and Certificate programmes in Business Analytics are open to:

  • Students who have completed an undergraduate or graduate programme at Ahmedabad University in any area.
  • Students who have completed an undergraduate or graduate degree at any other university, subject to certain entry requirements.
  • Working professionals inclined to develop skills in this area.

Why should you join a specialisation programme?

  • These one-year specialisation programmes help you to earn credentials in a new area while increasing your employability by helping you to develop key skills. They also give you the opportunity to explore your intellectual interests beyond the degree you have completed.
  • If you have just completed a three-year undergraduate programme, it gives you a fourth year at university, which makes you eligible to apply to a range of postgraduate programmes abroad.
  • In the context of the COVID-19 pandemic, it is likely to be very challenging for graduating students to enter the job market or begin further studies outside Ahmedabad (or their hometown if they are from elsewhere). While you are waiting for the external situation to improve and stabilise, you may wish to do a one-semester or a one-year part-time programme that would help you to your spend your time constructively, while adding to your employability skills.

Programme structure

The structure of the Diploma programme will be as follows:

  • Students will complete 5 specified core courses and 4 elective courses over the course of two semesters.
  • In addition, students will undertake 1 guided research project or write a report on a topic of their choice.
  • Students opting for the full-time certificate programme (15 credits) will take 3 core courses, one elective and one project course.
  • Students opting for the part-time certificate programme (15 credits) will take 3 core courses, one elective and one project course in two semesters.

Structure for Certificate Programme

Course Code Course Title Semester
To be defined Core Course 1: Introduction to R Monsoon
TOD531 Core Course 2: Introduction to Analytics Monsoon
TOD533 Core Course 3: Introduction to Business Analytics Winter
  Elective 1: Analytics course from the Functional area of choice Electives to be selected from the Elective basket offered
PRJ Project in the area of choice  
  • Tools to be used: R, Excel, Macros, Tableau, Gephi.

Structure for Post-Graduation Diploma Programme

Course Code Course Title Semester
To be defined Core Course 1: Introduction to R Monsoon
TOD531 Core Course 2: Introduction to Analytics Monsoon
TOD533 Core Course 3: Introduction to Business Analytics Winter
  Core Course 4: Data Visualization Monsoon
  Core Course 5: Predictive Analytics Winter
  Elective 1 Electives to be 
selected from the 
Elective basket offered
  Elective 2
  Elective 3
  Elective 4
  Project Winter

Please note:

  1. Course selection may be subject to availability and limits to the class size prescribed by the instructor.
  2. Some courses may have prerequisites.
  3. Students must check for potential scheduling conflicts while selecting their courses.

Elective Basket

S.No. Course Code Course Title Semester
1 FAC Accounting Analytics  
2 FAC 636 Financial Econometrics Winter
3 FAC 635 Financial Modelling Winter
4 MKT 641 Consumer Insights Winter
5 MKT 642 Interdisciplinary Approach To Consumer Understanding     Winter
6 MKT 611 Marketing Research Monsoon
7 MKT 653 Digital Marketing Monsoon
8 TODS 503 Simulation Modelling Winter
9 TODS 511 Decision Sciences Winter
10 TODS 523 Supply Chain and Logistics Management Monsoon
11 TODS 524 Operations Management Winter
12 MGT 627 People Analytics Monsoon
13 MGT 628 Future of Work Winter
14 MGT Social Network Analysis Winter
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