INR 4.5 Lakhs
B.Tech/BE in any streams BCA/B.Sc. in IT/CS/Electronics B.Com/BBA with Computer Applications, studied Mathematics or Statistics at +2 level MCA | M.Sc. in IT/IS/CS. Minimum of 50% marks (45% in case of SC/ST candidates). Relevant work experience of 2 years above in related field in Data Science/Analytics/AI/BI or related fields
The MS 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
Build a lucrative career path in Analytics and Data Science with the MS 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.
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.
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.
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.
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.
RACE has also partnered with leading industry giants to ensure the participants achieve their career-oriented goals.
Maximum Salary Hike
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: HBR and IVY Case studies, HBR Online Courses on Management essentials, 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, Tableau and Qlik Sense
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, IBM SPSS, 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
This module will provide knowledge and skills with Advanced Machine Learning and Prescriptive Analytics required to be a Data Scientist. Bayesian and local approaches to ML, Ensemble approaches to ML, Prescriptive modelling and Neural modelling and variants like DNN and ELM will be explored. At the end of the course, the participant will be equipped with knowledge, skill and experience to take up advanced predictive and prescriptive modelling for business problem-solving.
Tools: Jython, Weka, Python, H2O
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
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, Tableau
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, Tableau
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: Advanced Excel, HBR case studies, simulations and role-plays
This course is built to improve the skill sets in deep learning frameworks and applying them in NLP and Vision-related fields to real-world problem-solving. Advanced Analytics methods such as deep learning, shallow neural networks, convolutional neural networks and deep neural networks have been applied to fields including computer vision, machine vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance.
Tools: Python, Keras, Tensorflow, AutoML
AWS Academy Machine Learning Foundations introduces students to the concepts and terminology of Artificial Intelligence and machine learning. By the end of this course, students will be able to select and apply machine learning services to resolve business problems. They will also be able to label, build, train, and deploy a custom machine learning model through a guided, hands-on approach.
Tools: AWS Stack
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: Microsoft Azure Machine Learning studio, Databricks
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.
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: Microsoft Azure Cognitive Services, Custom Visions Services, Video Indexer, Language Understanding Service (LUIS), QnA Maker etc.
In this course, the participants will understand how to use Big Data methodologies, such as Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase to collect & analyze large amounts of data from different sources. At the end of this module, participants will be able to develop expertise to use Big Data methodologies, collecting and analyzing large amounts of data from different sources, using 20 plus different tools to develop expertise in designing big data solutions to business functions.
Tools: Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase Mandatory audit course: Big data modules from CloudxLabs.
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
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.
RACE, REVA University is an academic partner for AWS, Microsoft, CloudxLabs, and others. MS Business analytics participants will get unlimited access to our academic partners’ ecosystem which includes the Cloud labs access, Course Materials, Partners’ LMS, placement services, mentoring sessions, and more.
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.
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.
The participants will get access to six-plus high-demand courses on an online cloud platform for making learning fun and sustainable. The learning platform is gamified which features an array of one-of-its-kind offerings including -Online Video Courses. 24-hour Lab access (with Jupyter environment), Auto- assessment tests, and BootML – The UI-based Machine Learning model code generator.
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
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…)
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…)
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…)
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…)
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.
RACE’s Enterprise Analytics is a comprehensive and innovative solution to connect different enterprise functions through data to identify analytics opportunities and recommend appropriate solutions for business impact. Major levers of this research are financial analytics and supply chain analytics.
RACE’s Employee Life Cycle Analytics (ELCATM) is a unique framework to help the HR teams to unlock the power of the data within their organizations’ human capital management systems and provide complete visibility into critical metrics across the employee experience from recruitment, promotion to retention.
Crop recommendation system for farmers based on commodity pricing, weather and inter-market information, QA (Question and Answering) system to provide guidance for citizen support executives with Natural Language Processing and text analytics, and One-to-one tutoring system with a mobile app/humanoid simulator for primary students in Kannada language with Kannada as a first language.
Building a ML / AI layer to proactively detect anomalies in our state-of-the-art Security Operations Centre (SOC), which is built with the capabilities of Security Analytics and Security Orchestration, Automation and Response (SOAR). Along with proprietary SIEM and SOAR tools, the teams are working on building various botnets and malware attacks predictive models by applying machine learning algorithms with Python and H2O.
Financial assistance and Educational Loans from NBFC’s and Banks are available with interest rate ranging from 7.9 to 11%. 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.
Success is in the DNA of RACE. Decipher the successful journey of RACE through our mentors and participants.
“ I’m very grateful and proud to be part of the MBA in Business Analytics program at REVA Academy for Corporate Excellence (RACE), 2019-2021 Batch. The credit goes to RACE mentors and my batch mates. Still, a long way to go to learn and improve my skills.”
“ Being a program/project manager for the past 7 years and with more than 9 years of experience in technologies like Java, .net, DevOps, I got associated with REVA for MBA (Artificial intelligence). I have learnt from classroom sessions with many industry leaders and got exposure to real-time business understanding in AI. The hands-on sessions at RACE helped me a lot in exploring new opportunities in Data Science and the Artificial intelligence world.”
“ I have been associated with REVA University for Corporate Excellence for last 4+ years, working closely with the PGDM/MBA in Business Analytics Batches in delivery, helping with use cases, and some of the data processing areas. Even though the participants joining RACE’s programs are well-experienced, they would like to expand or switch their career for better opportunities. To advance in their career, MBA/PGDM in Business Analytics program of RACE is a great choice.”
“The program added value to my experience in Data Science and Business Analytics domain as the program allowed me to solve real-life problems using machine learning models and data science techniques."
Our MS in business analytics program enables the participants to showcase a competitive edge over other similar programs. The program is designed and curated by industry leaders who are the thought leaders in the industry. The MS in Business Analytics of RACE is uniquely designed by including a technical, quantitative, and practical approach that develops business analytical skills in the participants to make strategic business decisions.
The ever-expanding business analytics domain offers lot of opportunities to the learners. Companies/businesses of all sizes need skilled business analysts or data scientists to make profitable business decisions. There is a huge scope of career growth. People who are ambitious to have a major career transition can expect exceptional career opportunities such as Data Scientist, Data Analyst, Business Analyst, Market Research Analyst, Big Data Analyst, Business Intelligence Expert, Financial Analyst, Personal Financial Advisor, and so on.
According to the academic calendar, admissions to MS in Business Analytics will be in two batches, Batch 1 starts in the month of September, and Batch 2 starts in the month of March. However, you can apply for the program or reserve your seats at any time. Admissions will happen throughout the year, but you have to pre-confirm the batch you would like to join.
Click on the ‘Apply Now’ button on our website, https://race.reva.edu.in. You’ll be directed to another page where you can choose your preferred program, which will take you to the next page which consists of all the program details. Use the pop-up form to fill in your details and register.
Once you’ve registered with us, you will get a confirmation mail regarding your registration. Soon after the submission of the registration form, one of our expert executives will contact you and take you through the application process.
Working professionals with a minimum of 50% (45% in the case of SC/ST candidates) in their undergraduate degree of any discipline and 2 years of work experience in the industry are eligible for admission.
Both PG Diploma and MS in Business Analytics are offered in the format of traditional classroom delivery (on-campus), which is on Saturdays. However, short-term programs/certification courses are available in both online and blended learning modes depending on the requirements of the certification courses.
Yes, we provide placement assistance that includes valuable career guidance, tips for creating impressive resumes, and practice interviews. Every participant will receive strong support from industry mentors who will guide you towards various job opportunities in the industry. Placements also occur through recommendations from peers, alumni, and mentors. Above all, we are partnered with leading MNC’s that offer placement opportunities to our participants.