Start Date
September 2024
Duration
2 Years
Recognition
Approved by UGC
Program Fee
INR 4.8 Lakhs
Average Salary
Average Hike
Median Salary
Median Hike
Hiring Partners
Achieve your career goals
Become an Analytics Consultant
The M.Sc. in Business Analytics program participants in the two years of their tenure and beyond develop deep tri-dimensional frameworks that help them solve complex business challenges.
Domain/Business Understanding | ML/AI Applications | Data-Driven Business Problem Solving
Program feature
Build a lucrative career path in Analytics and Data Science with the M.Sc. in Business Analytics program. This is a 100% outcome-driven and skill-based program exclusively designed for working professionals in mid and senior positions to accomplish a smooth career transition into the highly rewarding data science field. The 24 month program is recognised by UGC and focuses on hands-on learning using proprietary or open software tools in the Analytics market today.
Industry Thought Leaders
as Mentors
Our industry mentors have decades of experience in the industry and hence participants will receive hands-on experience with various analytics applications to solve real-time business issues.
LMS with the best in
Class Resources
An integrated Learning Management System (LMS) that provides 24/7 access support to aspirants with in-class reading support, interactive resources, real case database datasets, recordings of sessions, and other resources.
Industry Grade
Projects
Real-time case studies with labs and simulations provide hands-on learning opportunities that help participants gain a thorough understanding of the subject and how it is applied in the real world.
Placements
Opportunities
The lateral placement services such as career guidance, resume building, and mock interviews with industry mentors and alumni help our participants to transition their careers and bag lucrative offers.
Why Business Analytics with RACE?
- Develop Full-Stack Analytics and Decision-making Skills
This unique program will help the learner to design data-driven processes and systems, build descriptive, diagnostic, predictive, prescriptive, and cognitive models, deploy and monitor them in a real-time business setting. - Designed for Creating Enterprise Leaders
This program is designed to help enterprise leaders who can harness the web of information from internal functions and external sources into meaningful decisions, to build profitable and sustainable organizations. Modules like Enterprise Analytics and Consulting in Analytics build end-to-end performance-driven skillsets. - Building Techno-Functional Expertise
A well-balanced program curriculum ensures that the learner gains deep technical and functional expertise in building Machine Learning/Deep Learning-based applications in all the enterprise functions based on the business challenges, thus making a very strong resume with hands-on skills which is a rarity today. - Active Learning with Industry-grade Projects
At the end of this two-year MS in Business Analytics program, the learners will get to work on 20 plus mini-projects, 2 plus full-scale projects, and research publication(s). These projects are mentored by industry thought leaders and hence career transformational. The main focus of these projects is on research and innovation, range from business use cases to cutting-edge deep learning product development. - Lateral Placement with Career Guidance and Support
A wide network of 50 plus industry mentors, 100 plus marquee organizations as placement partners, and 1000 plus strong alumni network ensure a successful transition of our learners into analytics managers. The lateral placement process is uniquely designed with one-on-one career guidance and mentoring sessions, resume building support, special training, and mock interviews, to place each learner nationally and internationally with an average of 50 to 200% increase in salary.
Admissions closes on 21st Sept. 2024
Curriculum Highlights
- 94 Credits
- 4 Semesters
- 17 Modules
- 10+ Mini Projects
- 2 Capstone Projects with Industry Mentorship
- 2+1 Global Certifications
- 1 Research Paper Publication
Semester- I
Learn essentials of management; planning, organizing, directing and controlling in a real-time simulated environment through case studies. In this course, the learners will hone their decision-making skills by enacting the protagonists’ role in solving challenging managerial situations. The learners will debate and participate in designing the strategies and implementing tactics to build performance-driven, sustainable organizations. The focus would be to learn the skills to build a data-driven culture to manage performance and competitive advantage.
Tools: Power BI, HBR Case studies, and Simulations.
This module will provide hands-on skills with SQL, Python and Tableau required to implement business analytics projects. Through a set of mini-projects, the learners will design and implement a domain-driven system; design and build DataMarts with SQL, extract and process the data with Python and build a dynamic dashboard with Tableau/Qlik Sense on key performance metrics.
Tools: SQL, Python, and Power BI.
This module aims to provide a strong foundation in applying statistical concepts and methods in real-world situations and domains related to analytics. They will learn univariate, bivariate and multivariate statistical techniques, setting and testing hypotheses, sampling, probability and building statistical models. The participants will learn to present their cases with appropriate business relevance to non-statistical / business stakeholders.
Tools: Python, R, and Advanced Excel.
This module is a combination of concepts, tools and practical workshops to familiarize and build expertise in Machine Learning algorithms and model building processes. Learners will get in-depth practical skills in building supervised and unsupervised algorithms through industry-relevant case studies and data sets. CRISP-DM framework is used for all the data science projects and sessions, to ensure that the focus business solutions and not mere model building.
Tools: Python, R, Keras, H2O
The objective of this module is to make the participants implement and apply state-of-the-art deep learning models in real-world problems. The participants will get in-depth understanding and hands-on exposure to applying deep learning methods to solve a variety of computer vision-based problems. The labs include building a deep neural network for a given problem, hyper-parameter tuning, and optimization to make sure it avoids overfitting, building a time sequence-based neural networks and solving the problems of forecasting, building CNN for image processing tasks, learn how and when to use Autoencoders and familiarize with the latest advances in deep learning.
Tools: Python
Semester- II
Marketing analytics helps the participants to understand and apply the processes and technologies that enable marketers to evaluate the success and value of their marketing initiatives, identify trends and patterns over time, and make data-driven decisions. They will be able to apply marketing mix modelling, market basket analysis, Association rules, Customer Lifetime value calculations and recommendation engines.
Tools: Python, R, Azure, and Power BI.
This course deals with financial analytics concepts and its applications in real-life business environments. Concepts in Fundamental and Technical analysis, Key Financial Statements, Computation of Key Financial Metrics, Types of BFSI Products, and Profit and Loss Drivers etc., will be learnt. The learners will be able to design, build and deploy machine-learning models in BFSI segments. Algorithmic trading, Credit risk scoring, fraud analytics, portfolio management are some of the use cases.
Tools: Python, R, Azure, and Power BI.
Learn the best practices on supply chain analytics from global practitioners. The module provides conceptual and practical skills on the complete spectrum of supply chain and analytics applications on; operational procurement, vendor management, procurement decisions, category management, spend analytics, production systems, logistics sales & operations and customer management. At the end of the module, the learners will be able to design streamlined processes, demand forecasting, network design, predictive maintenance, warehouse zoning and management, performance reports, decision dashboards, moving from descriptive to predictive to prescriptive analytics through real-time industry case studies.
Tools: Python, Advanced Excel, HBR case studies, simulations and role-plays.
The objective of this course is to provide knowledge and skills to the participants to analyze the text and derive useful insights. The participants will be able to read the text data, preprocess, and classify the text. They will have a clear understanding of grouping the text/documents by similarity, detecting the topics in texts, analyze the sentiments, topics and intent with social media posts. NLP based models will be taught with hands-on sessions.
Tools: Python, R
This course will delve into the transformative power of Generative AI, exploring its applications across various industries. Through practical projects, participants will gain hands-on experience with cutting-edge tools and techniques for leveraging AI to generate text, images, audio, and more. The objective is to empower the learner with the knowledge and skills to strategize, implement, and manage Generative AI initiatives within their organizations. Upon completion, participants will be equipped to understand the potential of Generative AI and implement relevant use cases to drive innovation.
Tools: Python, Azure, and AWS.
The first-year Business Analytics program will culminate in designing, preparing and presenting a real-time capstone project on a live business challenge. Each of the participants will be provided with a senior industry mentor for guidance spanning 6 weeks. The final certification is strictly based on the successful completion and submission of the capstone project with a favorable assessment from the panel of industry mentors. The objective is to develop your managerial and consulting capabilities by applying the lessons learnt in the program to real-life business situations.
Tools: Full-stack
Semester- III
Through this course, the participants will learn a variety of structured problem-solving techniques and key management frameworks to solve any business problems. Furthermore, emphasis will be on how to take complex business problems and structurally break down the problem into analytical solutions and present recommendations in the storytelling format to convince stakeholders, combine management consulting skills with statistical and data science skills to solve real-world business problems.
Tools: Simulations, HBR/IVY case studies
Through this course, the participants will learn to connect large Analytics/AI systems from various functions of an enterprise and build a performance-driven KPI setting per function and enterprise as a whole. They will learn to build analytical data mart, dashboards and predictive models across key functions like Finance, Operations, Marketing and Sales, HR, Supply Chain, etc. The participant will be equipped with knowledge, skill and experience to take up the identification of opportunities for analytics in an enterprise and recommend the appropriate solution. Writing and presenting techno-functional RFP’s is an outcome of this module.
Tools: Qlik Sense, SQL, Azure, Python
This is a Microsoft Azure-based module with certification. The learners will be able to design and deploy AI systems with Azure through this course. They will plan and manage an azure cognitive services solution, implement computer vision solutions, NLP solutions, knowledge solutions, and conversational AI solutions. After completing the certification exam they will be designated as Azure AI Engineer Associate
Tools: Azure and Python.
This module deals with designing and implementing a data science solution on Microsoft Azure. The participants will learn to create and manage Azure and Data Bricks workspace, run and monitor models, automated MLs and tune hyper-parameters and Deploy and operationalize machine-learning solutions in the Azure cloud environment. The participants will go through the DP-100 to qualify as Microsoft certified Azure Data Scientist.
Tools: Azure and Python.
Semester- IV
The second-year Business Analytics program will culminate in designing, preparing and presenting/publishing a real-time capstone project on a live business challenge. The scope and business applications of the project need to be larger than the first-year project. Designing and implementing, deploying and demonstrating an end-to-end analytics project with a reasonable monetary benefit need to be built. The program office will support with mentoring and report writing. The evaluation is based on viva-voce by an industry panel of experts.
Tools: Full Stack
This module credits can be earned by writing and publishing a research paper on the capstone project done in the earlier module. The participant needs to publish or present the paper in a peer-reviewed journal or reputed international conference. The participants will learn skills in research paper writing and publishing/presenting.
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Partners
RACE, REVA University is an academic partner for AWS, Microsoft, and CloudxLabs and others. The program participants will get unlimited access to our educational partners’ ecosystem, which includes the Cloud labs access, Course Materials, Partners’ LMS, placement services, mentoring sessions, and more.
Microsoft Azure is the leading cloud platform and productivity company for the mobile-first, cloud-first world, and its mission is to empower every person and every organization on the planet to achieve more. Through this partnership, our participants will get access to their 100’s of courses, certification opportunities, and placement services. Cloud labs with credits will be provided to practice the real-time deployment of projects.
AWS Academy partnership provides our participants, course materials to pursue industry-recognized certifications and in-demand analytics / Artificial Intelligence / Machine learning jobs. AWS curriculum helps the learners to stay at the forefront of AWS Cloud innovations. The learners will get access to the Cloud environment to build and deploy Machine Learning / Artificial Intelligence solutions.
![](https://race.reva.edu.in/wp-content/uploads/2plus1_global_certification_BA.png)
Mentors
Industry mentors are the assets of REVA Academy for Corporate Excellence. The industry experience of our mentors helps the participants to bridge the gap between classroom learning and the industry
![](https://race.reva.edu.in/wp-content/uploads/Dr_JB_Simha__2_.png)
Dr. J B Simha
Dr. J B Simha excels in R&D, business intelligence, and analytics consulting, demonstrating his core competency. His expertise includes implementing expansive systems for telecom, BFSI, (more…)
![](https://race.reva.edu.in/wp-content/uploads/Ratnakar_Pandey.png)
Ratnakar Pandey
He is an Advisor and Consultant for Generative AI at NuWare, specializing in extracting valuable insights and developing practical models from predominantly unstructured data like text (more…)
![](https://race.reva.edu.in/wp-content/uploads/Pradeepta_Mishra__2_.png)
Pradeepta Mishra
Pradeepta Mishra has 16+ years of experience and currently is the Co-Founder and Chief Architect of Data Safeguard Inc., leading a group of Data Scientists, computational linguistics (more…)
![](https://race.reva.edu.in/wp-content/uploads/Usha-Rengaraju.png)
Usha Rengaraju
Usha currently heads the data science research at Exa Protocol. She is the world’s first women triple Kaggle Grandmaster. She was ranked as the top (more…)
![](https://race.reva.edu.in/wp-content/uploads/Sandeep_Giri.jpg)
Sandeep Giri
Sandeep is a seasoned and hands-on machine learning scientist with a strong experience in building world-class software products, machine learning and churning humongous data. His core expertise is in Deep Learning (TensorFlow, (more…)
![](https://race.reva.edu.in/wp-content/uploads/Ravi_Shukla.png)
Ravi Shukla
Ravi is a Data Scientist with expertise in the areas of Web Analytics, AI including Natural Language Processing & Machine Vision. He has 22 filed patents with USPTO out of which 12 have been (more…)
![](https://race.reva.edu.in/wp-content/uploads/Dr_Angshuman_Ghosh.png)
Dr. Angshuman Ghosh
Dr. Angshuman Ghosh is a data science and strategy leader with experience in retail, media, research, and tech domains. As a Data Scientist, he led data science and analytics projects using cutting-edge (more…)
![](https://race.reva.edu.in/wp-content/uploads/Prahalad_Karnam.png)
Prahalad Karnam
Prahlad is a Strategist, Industry Leader, Change Expert and a Leadership Coach. He had led several engagements and business units globally by guiding companies in their business, operations, IT and Analytics strategy, and execution. (more…)
![](https://race.reva.edu.in/wp-content/uploads/Gopal_Pingali.png)
Dr. Gopal Pingali
Gopal is a leading subject-matter-expert in Cloud, AI, and Automation technologies. He has a proven track record of driving digital transformation at scale for 1K enterprises across multiple industries. (more…)
![](https://race.reva.edu.in/wp-content/uploads/Akshay-Kulkarni-400x400-1.jpg)
Akshay Kulkarni
Artificial Intelligence and Machine Learning Evangelist, an Author, a Speaker, and a Mentor who drives AI and Data Science-led strategic transformation. He had led strategy and transformation (more…)
![](https://race.reva.edu.in/wp-content/uploads/Sayandeb_Banerjee__2_.png)
Sayandeb Banerjee
Sayandeb has worked both as part of the large enterprises by setting up the analytics capabilities as well as a service provider for various enterprises. Sayandeb has also played several intrapreneurial roles like designing training and pedagogy (more…)
![](https://race.reva.edu.in/wp-content/uploads/Amaralingeswara_Rao_Kaka.png)
Amaralingeswara Rao Kaka
Amaralingeswara is well-experienced in a wide variety of software development and professional services include Product Development, Quality Assurance, Support, (more…)
![](https://race.reva.edu.in/wp-content/uploads/Dr_Santosh_Nair.png)
Dr. Santosh Nair
Dr. Santosh Nair has extensive experience in statistical modelling and advanced analytics consulting. He has extensive experience in statistical modelling and advanced analytics consulting. His areas of specialization include Marketing and (more…)
![](https://race.reva.edu.in/wp-content/uploads/Dr-Sai-Hareesh1.png)
Dr. Sai Hareesh
Dr. Sai Hareesh is currently working as an Innovator at Maestro Technologies, Inc. He has completed his Ph.D in Computer Vision from Sri Sathya Sai Institute of Higher Learning. He has 12+ years of (more…)
Continuous Evaluation
This is a globally accredited program to make the participants truly global citizens. At par with international standards and to provide opportunities for global mobility to our participants, we follow an outcome-based education system (OBE). Experiential learning and project-based pedagogy have been employed in the design and delivery of the program.
The objective of module assessment and evaluation is to objectively assess the learners of the program on their ability to apply the concepts, modeling techniques in various domains and verticals for different business scenarios through a continuous evaluation framework throughout the program. Detailed regulations on earning the credits and GPA’s will be shared during the program.
![MSc-BA-Certificate-Sample MSc-BA-Certificate-Sample](https://race.reva.edu.in/wp-content/uploads/MSc-BA-Certificate-Sample-290x400.png)
Admission Process
-
Register by filling up the
online application form -
Go through the documentation process and a screening call with the Director’s office.
-
If selected, you will receive an ‘offer of admission’ letter for the upcoming cohort. Secure your seat by paying the admission fee.
Merit Scholarship
for those who scored
60%
and above in their pre-qualifying exam
Early bird/group/referral
discounts are also available.
Admission Process
Financial assistance and Educational Loans from NBFC’s and Banks are available with interest rate ranging from 9 to 14%. These financial institutions will allow you to repay the educational loan in easy installments and income tax benefits.
Avail hassle-free educational loan to help you to join our Master’s programs to power up your skills to build your dream career.