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2-Year MBA in BUSINESS ANALYTICS

* Started in 2019

MBA Business Analytics program will prepare graduates to leverage the power of Data Analytics onto business trends and predictions, with our unique, industry-relevant curriculum to ensure future success.

PROGRAM OVERVIEW

Long before Big Data and Analytics gained traction, we at Chitkara Business School saw the value of Business Analytics and curated our curriculum to prepare students on the impact Data Analytics will have on the future of business. Data Analytics is the process of examining large data sets to develop insights and patterns that involve the use of analytics techniques like Machine Learning, Data Mining, Natural Language Processing, and Statistics. The Data is extracted, prepared and blended to provide analysis for the businesses. The 2-year MBA in Business Analytics program will prepare graduates to leverage the power of Data Analytics onto business trends, and predictions. With a huge interest and investment in Big Data technologies, professionals carrying the skills of Big Data Analytics are in huge demand, as organisations pay attractive incentives and packages for qualified professionals.

About EY

EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities.

  • The MBA Program in Business Anlytics at Chitkara Business School in collaboration with EY will focus on the use of advanced Data Analytics tools for Managers.
  • Enabling full use of Statistical Modeling, Artificial Intelligence and Data Analysis techniques for solving business problems.
  • Developing the ability to recognize and finalize the findings from a data set, along with effective presentation of the results using various Business Intelligence Tools.
  • Application of the Principles of Data Science for solving real-world problems.
  • Learning the use of cutting-edge tools and technologies for advanced business analysis.
  • Experiential learning that provides the right exposure to be market ready.
CAMPUS RECRUITMENT

Data represents a potential goldmine of information – one that can give businesses a competitive edge if they can master the art of gathering it, analysing it, and putting it to good use. More and more companies are using it to further their reach, boost sales, operate more efficiently, and introduce new products and services. Skilled Business Analysts power these data-driven business decisions. Graduates trained in Data Analysis can have a huge impact on a business, driving important decisions that improve operations or identify future opportunities that could boost growth, and get the best of opportunities for Internship and Campus Recruitment in blue chip companies and multinational organisations. Some roles graduates can explore include:

  • Business Analyst
  • Industry Expert
  • Business Analyst
  • Project Manager
  • Data Analyst
  • Data Analyst
  • SAS Programmer
  • Big Data Analyst
  • Data Warehousing Expert
  • Business Intelligence Expert
  • Data Warehousing
  • Data Mining Expert
Employment Landscape

The employment landscape looks very promising for graduates of MBA Business Analytics, with blue chip companies constantly looking to hire experts in the field. These include:

  • GenPact
  • Infosys
  • Target
  • HSBC
  • Cap Gemini
  • Accenture
  • Wipro Analytics
  • Cognizant
  • Fractal
  • Citi Bank Analytics
  • EXL
  • Mu Sigma
  • HCL
  • Mindtree
  • Latent View
  • IBM
Some of the major companies who recruit our graduates are:

PROGRAM HIGHLIGHTS

MBA in Business Analytics program ensures that students develop a strong understanding of the fundamentals of Analytics, along with the education to meet their career and personal goals. The rigorous and fast-paced program consists of fundamental business study modules that include the study of Data Science, Technical Skills, and advanced courses in Analytics methods and problem-solving. Teaching philosophy in Data Analytics involves sorting complex data through proven methods and applications.

Deep Dive Courses on Business Analytics by EY
  • Applied statistics & Analytics using Excel
    – Basic and Advanced Statistics
    – Basic and Advanced Excel functions for Analytics
  • Cloud Data Warehouse
    – Basics of Data Warehouse
    – Introduction to the Cloud with AWS
    – Implementing Data Warehouse on AWS
  • Exploratory Analytics in Python
  • Predictive Modeling in Python
  • Machine Learning & Artificial Intelligence in Python
  • Data Visualisation & Storytelling in BI
  • Blockchain Experiential
Eligibility & Fees
  • The candidate should have completed the Bachelor’s Degree with minimum of 50% aggregate marks in any stream from a recognised university.
  • The candidate appearing in the final year examination can apply but the candidate must have secured minimum 50% (aggregate) marks till the previous year’s examination. However, the candidate must submit his/her graduation completion certificates by September 30, 2020, failing which he/she shall be de-registered.
  • Candidate having compartment in any subject will not be considered.
  • Having work experience is not a requirement for admission to the program.
  • Admission to the MBA program at Chitkara Business School is based on merit ranking in CAT / MAT / NMAT / XAT / CMAT Score, followed by group discussions and personal interview. Applicants who have not taken any of the above mentioned entrance exams shall have to take Chitkara University Test with group discussions and personal interview. Decision of the selection committee will be final.
Fees
Semester I Rs. 1,05,000
ERP Fee^ Rs. 8,000
CAS^^ Rs. 30,000
Semester II Rs. 1,40,000
Semester III Rs. 1,40,000
Semester IV Rs. 1,40,000

^ERP Fee only at the time of admission ^^CAS Career Advancement Services Fee only at the time of admission

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