Start Date
March 2024
Duration
12/24 Months
Recognition
Approved by UGC
Program Fee
INR 4.5 Lakhs
Eligibility Criteria
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
Google Reviews
Exceptional RACE cybersecurity course! Engaging content and hands-on exercises provide practical skills for navigating the digital landscape. Highly recommend to anyone looking to fortify their cybersecurity knowledge."
"REVA's Masters program immersed me in a dynamic learning environment, fostering a holistic approach ."Collaborative projects and interactive sessions honed my teamwork and communication skills.""The supportive faculty and cutting-edge resources created a transformative academic experience.""Overall, REVA's Masters program not only enriched my expertise but also empowered me for future challenges."
It was an exciting journey and RACE has helped me to boost my career to next level.
REVA RACE offers industry-driven curriculum which is delivered by industry experts. RACE team is very supportive and the program helped me to upskill in my career path.
My name is Patnana Sayesu, and I'd want to tell you about my great experience at RACE Reva University. During my M.Tech in Cyber Security, I gained essential hands-on experience and polished fundamental domain skills with the help of industrial expert mentors. The program's emphasis on real-world projects and training from experienced professionals prepared me to face real-world industry issues.Notably, the support I received from dedicated mentors and program office coordinators was critical to my success. I am grateful for the opportunity to gain global certificates and, as proof of the program's effectiveness, to secure two public-sector positions while continuing my studies.I would want to express my heartfelt gratitude to all mentors, trainers, and program office coordinators who have helped me reach both short and long-term professional goals.Thank you!Patnana Sayesu
I highly recommend REVA Academy for Corporate Excellence (RACE) for anyone looking to advance their professional skills. The courses offered are top-notch and cover a wide range of topics, from A.I/Data Analytics to Cyber Security/Cloud Computing. The instructors are experts in their respective fields and provide valuable insights and real-world examples. The online platform is easy to use and the materials are well-organized. I particularly appreciated the interactive nature of the classes and the opportunity to network with other professionals. Overall, RACE is an excellent investment in professional growth.
In 2019, I was seeking an MBA program. I researched numerous Tier-2 executive MBA programs to make sure I could make the most of the money I had spent on the program. However, I was dismayed to find from numerous responders that part-time MBA programs at Tier-2 B-schools are not even close to matching their full-time equivalents.RACE was a really unique experience. The executive MBA ended up educating you far more than a full-time course would have. Top-notch mentors from major multinational corporations were imparting all of their real-world work experiences into their lectures; mind you, they consisted of divisional heads, CTOs, and architects in their respective fields of specialty. What was most extraordinary was the sheer number of modules taught and the variety of perspectives offered through those modules.All of the theories we had learned in class and, most crucially, how to master structured thinking had to be put to the test in our end-to-end, real-time capstone projects, which had to be designed, implemented, deployed, presented, documented, and published. After receiving my degree, I was able to say with a guarantee that it was more than just PAISA WASOOL. Not because I was able to earn a degree which I would have otherwise received from any institution. However, the kind of super churning I went through has given me such a strong sense of fulfilment and confidence.I feel I can challenge anyone to give me any business analytics challenges, and I will not let them down by letting them doubt my abilities and knowledge levels, which I was able to enhance through my degree program at RACE Reva University.
I am pursuing Msc in Artificial Intelligence in RACE. I would like to provide honest review on 2 categories..Academics: As working professional I felt bit heavy with Subjects but professors are really coming from realtime background and helps to resolve the doubts.. structured curriculum makes journey smoother.Campus: Definitely you would feel campus like some foreign University...you would love to visit every Saturday without hesitation..
I highly recommend REVA Academy for Corporate Excellence (RACE) for anyone looking to advance their professional skills. The courses offered are top-notch and cover a wide range of topics, from management and leadership to finance and marketing. The instructors are experts in their respective fields and provide valuable insights and real-world examples. The online platform is easy to use and the materials are well-organized. I particularly appreciated the interactive nature of the classes and the opportunity to network with other professionals. Overall, RACE is an excellent investment in personal and professional growth.
Incredible campus, with spectacular LABS & Infrastructure for students. REVA RACE programs crafted to perfection to upskill your learning pathway. Selective industries experts, faculties makes the journey even more intuitive. Student - Batch 04
I pursued my MBA in Business Analytics from Race and it was a great experience! It paved my career into IT since I came from a hardcore business background. The RACE team helped in finishing the course on time and guided immensely to ensure our projects were meaningful and added value to our careers.
REVA RACE Cybersecurity program offers industry-driven curriculum which is delivered by industry experts. The program includes certifications which are accepted across the globe. The lab and tools facilities available help to have good hands-on. The program definitely helps working professionals to upskill and to move ahead in their career.
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.
Become an Analytics Consultant
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
Program feature
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.
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.
Placement Partners
RACE has also partnered with leading industry giants to ensure the participants achieve their career-oriented goals.
Placement Stats
Maximum Salary Hike
230%
Hiring Partners
50+
Curriculum Highlights
- 94 Credits
- 4 Semesters
- 21 Modules
- 20+ Mini Projects
- 2 Capstone Projects with Industry Mentorship
- 9 Global Certifications
- 1 Research Journal 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: 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
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, 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.
Tools: Full-stack
Semester - III
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
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.
Partners
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.
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
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…)
Professor and Chief Mentor - AI and CTO, ABIBA Systems
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…)
Advisor and Consultant for Generative AI, NuWare
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…)
Co-Founder and Chief Architect ,Data Safeguard Inc.
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…)
Chief of Research, Exa Protocol | Kaggle Grandmaster and Autism Awareness Champion
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…)
Founder, CloudxLab
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…)
Consultant - Data Science, Dell Technologies
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…)
Founder and CEO, Stealth Startup
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…)
CEO and Founder, PeopleCube.ai
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…)
Managing Director - Global Hybrid Cloud Leader, Accenture
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…)
Manager - Data Science & AI, Publicis Sapient
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…)
Co-Founder and CEO, TheMathCompany
Amaralingeswara Rao Kaka
Amaralingeswara is well-experienced in a wide variety of software development and professional services include Product Development, Quality Assurance, Support, (more…)
Director of Professional Services - APJ, EnterpriseDB
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…)
Founder, Analytic Edge Pvt. Ltd.
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…)
Innovator, Maestro Technologies, Inc. | Founder and CEO i2i
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.
Live Projects to Solve Real-World Problems
Enterprise
Analytics
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.
Employee Life Cycle
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.
Natural Language
Processing Projects
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.
Security
Analytics
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.
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.
INR 4,50,000
Merit Discounts
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 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 Stories
Success is in the DNA of RACE. Decipher the successful journey of RACE through our mentors and participants.
Suresha H P
“ 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.”
Somesh Sahu
“ 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.”
Amaralingeswara Rao Kaka
“ 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.”
Ashok Shetty
“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."
Still have queries?
Contact Us
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Frequently Asked Questions
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.