For Admissions, Call:
+91 95388 74441, +91 73497 97256, +91 76250 69676, +91 73497 97253
For Admissions, Call:
+91 95388 74441, +91 73497 97256,
+91 76250 69676, +91 73497 97253
Course Features
Start Date
September 2022
Duration
12/24 Months
Recognition
Approved by UGC
Eligibility
- B.Tech/BE in any streams | BCA/B.Sc. in IT/CS/Electronics | B.Com/BBA with Computer Applications, they should have 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 or related field in Data Science/Analytics/AI/BI or related fields
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 12/24 month’s program is recognised by UGC and REVA University focuses on hands-on learning using proprietary or open software tools in the Analytics market today.
EXPLORE THE PROGRAM
The trainers/ mentors have more decades of experience in the analytics industry that enables participants to receive hands-on experience on various analytics tools and applications to solve real-time business issues.
Access to the Learning Management System (LMS) provides 24/7 support to the participants with pre-class readings, in-class resources, datasets, recorded videos of contact sessions, and other resources.
Module assessments that consist of live industry grade projects and simulations provide in-depth knowledge to the participants.
Lateral placement Support includes career guidance, resume building services, and mock interviews along with mentor and alumni referrals.
Why PGD/MS in Business Analytics with RACE?
Five reasons to choose RACE’s Business Analytics program
01 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.
02 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.
03 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.
04 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.
05 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.
CURRICULUM
The Trimesters are designed to develop in-depth, hands-on skills in Programming, Statistics, Machine Learning, Deep Learning and Natural Language Processing. This foundation will help further in building applications of ML in various domains like Finance, Marketing and Sales, Supply Chain etc. IBM certifications in Predictive Modeler and Big Data are also part of the first-year program. In the second year, the focus would be to develop consulting skills to apply enterprise-based data science projects including Big data projects.
Trimester 1
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 is a specially designed module to empower the participants with all the required concepts of statistical and machine learning from basics to advanced concepts using R and Python in a fast track manner through five-plus key domain use cases. After completing this course, participants will be capable of articulating the language of business analytics, will be able to perform EDA and Predictive Modelling and be able to prepare for job interviews in analytics and attend interviews confidently.
Tools: Python, R, Advanced excel
Trimester 2
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 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
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
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
Trimester 3
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
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.
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.
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 favourable 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
Note: First-year capstone projects are suggested to be presented in a conference of repute or to be published in a peer-reviewed journal. The submissions to the program office will include, presentation deck, project report, code and associated dataset.
Trimester 4
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
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.
A custom made module on developing enterprise leaders, who can leverage information into high-value decision making that enables faster revenue growth, reduce operational expenses and maximise long term returns. This module covers the key metrics and analytics applications in all the organizational functions and associated decisions; Product Development, Marketing, Sales, Finance, Operations, Supply Chain and more through HBR and IVY case studies. The participants will learn to balance Profit, Growth and Control while aligning strategies and tactics to design and build sustainable organizations.
Tools: Simulations, HBR/IVY case studies
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
Trimester 5
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 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
Note: The submissions to the program office will include, presentation deck, project report, code and associated dataset.
Trimester 6
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.
Note: Second-year capstone project needs to be mandatorily published in a peer-reviewed journal or presented at an international conference.
TOOLS USED
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
RACE participants are currently working on various use cases (but not limited to) to promote and provide services on the following areas.
- 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
- 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
RACE researchers and participants are working on building a Machine Learning / Artificial Intelligence 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.
Access to Labs with Cutting-Edge Technologies and Software
Corporate program participants will get access to the state-of-the-art RACE labs to have enhanced practical learning experience. Analytics Labs in Association with AWS Academy and Microsoft Azure
Business Analytics Labs in association with AWS Academy and Microsoft Azure | Cybersecurity Labs partnered with EC-Council, Microsoft Azure Cloud and Terralogic Inc. | Natural Language and Vision Technology Labs | Cluster Lab for Executive Training | Security Operations Center (SOC)
Labs for High Performance Computing
RACE labs are equipped with the latest hardwares for high performance computing including, Dell Power Edge R740 Servers, Dedicated ISP lines for high speed Internet, Labs equipped with Kinetic sensors, 3D cameras, LED screens, AIO systems, touch screens, screen sharing features, remote access, live streaming and more.
Proprietary and Open-Source Tools
About 15 plus proprietary software tools are made available to the participants such as IBM QRadar, IBM Resilient, IBM Modeler, Cognos, IBM Watson suite, Tableau, Arcsight, Logger, AWS Suit, Splunk and a range of Microsoft tools. Participants can also access 50+ open-source tools such as Kali Linux, Anaconda, Python, R, Orange, Weka, KNime, Rapidminer, and so on.
Remote infrastructure through Secured VPN and RDP
The specialised executive programs in Cybersecurity and Analytics programs require hands-on sessions on the segregated environment. To facilitate the labs remotely, RACE offers a secured Virtual Private Network (VPN) to access the Data and Proprietary software at the campus. A few of the software can be accessed through cloud and others through Remote Desktop Protocols (RDP) and VPN.
Live online sessions with industry mentors
RACE uses multiple virtual platforms like MS Teams/WEBEX/Zoom efficiently to conduct all the online sessions. Mentors remotely connect with the learners through these platforms to conduct interactive sessions through video conferencing. MS Teams and its various integrated tools like fully integrated Office 365, meeting facilities, OneDrive, SharePoint, whiteboard, planners, etc., are used to conduct online sessions.
Learning Management System
The online lecture videos are recorded on a real-time basis and uploaded in the Learning Management System of RACE so that the learners can refer to those videos for future learning or clarifying their doubts. The assignments and assessments are scheduled periodically using Safe Browser Mode and AI driven Virtual Monitoring Tools to ensure the sanctity of the examinations.
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. Simha’s core competency is in R&D, business intelligence and analytics consulting. He has implemented several large scale systems for telecom, BFSI and manufacturing industries in business intelligence and analytics. He has been recognized as one of the ‘Top 10 Most Prominent Data Science Academicians in India: 2019’ by Analytics India Magazine.
Professor and Chief Mentor - AI and CTO, ABIBA Systems
Ratnakar Pandey
Leading a talented team of Data Scientists and Analytics professionals in Amazon to draw insights and build actionable models from mostly unstructured data such as text and speech from India and other geographies. He has won prestigious awards such as Project Excellence Award from Citigroup and Annual Leadership Award from Target. He has also been recognized as one of the ‘Top 10 Data Scientists in India: 2020’.
Leading ML and Analytics for Customer Service, Amazon India
Pradeepta Mishra
Pradeepta Mishra has 16 + years of experience and currently is the Head of AI Fosfor, leading a group of Data Scientists, computational linguistics experts, Machine Learning and Deep Learning experts in creating value. He has expertise across core branches of Artificial Intelligence including Image Processing, Audio Processing, NLP, NLG and NLI and design and implementation of expert systems and personal digital assistants.
Director of Artificial Intelligence - Fosfor, LTI - Larsen & Toubro Infotech
Usha Rengaraju
Usha currently heads the data science research at Exa Protocol. She is the world’s first women triple Kaggle Grandmaster. She is ranked as the top ten Data Scientists in India 2020, ranked as top ten women data scientists 2021 by Analytics Insight magazine. She has been ranked as top 150 AI Leaders and Influencers by 3AI magazine. She organized the NeuroAI/Neurodiversity India Summit which is India’s first-ever research symposium/Conference in the field of Neuroscience and Data Science. Usha is a recipient of Top 10 women tech leader award 2022 by RACE, REVA University.
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, Scikit learn, MLLib), Distributed Computing (Spark, Hadoop, Kafka), Software Development (Web/Mobile, Python/Scala/Java/C/JS), User-Centric product development, etc.
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 19 filed patents with USPTO out of which 5 have been granted.He has contributed to AI solutions across various business domains. He has been recognized as one of the ‘Top 40 under 40 Data Scientists in India: 2019’ by Analytics India Magazine.
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 technologies like Artificial Intelligence, Machine Learning, Deep Learning, etc. He is also a member of prestigious Harvard Square Leaders Excellence and American Marketing Association.
Head of Data Science, Sony Research India
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. His expertise is in the areas of Consumer Products, Business Development, Business Transformation Consulting, Corporate Strategy, and Leadership Mentoring & Coaching.
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. Gopal is an inspiring technology leader known for building and sustaining talented teams of consultants, architects, and software developers across America, Europe, Asia, and Australia.
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 interventions through AI by working on various Machine Learning, Deep Learning, Natural Language Processing, and Artificial intelligence engagements by applying state-of-the-art techniques in this space.
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 by establishing hiring practices, innovation, marketing, and communication.
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, and Lab Services. His core expertise is in optimising the operational, technical and delivery efficiency of teams by taking challenges. He has been awarded as “Best People manager of 2010” by IBM India.
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 Media Mix modelling, Pricing, Customer segmentation and Response Modelling in Loyalty Analytics, Testing Analytics and Forecasting.
Founder, Analytic Edge Pvt. Ltd.
PLACEMENT PARTNERS
RACE has also partnered with leading industry giants to ensure the participants achieve their career-oriented goals.
FEE AND FINANCE OPTIONS
The program fee for the two-year MS in Business Analytics is INR 4.5 lakhs. Merit Discounts for those who scored 60% and above in their pre-qualifying exam is available. Early bird/group/referral discounts are also available.
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.
FREQUENTLY ASKED QUESTIONS
Answer all of your 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 develop business analytical skills in the participants to make strategical 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 September and Batch 2 starts in March. However, you can apply for the program or book your seats at any time. Admissions will happen throughout the year, but you have to 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 another page that 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 coordinators will contact you and take you through the application process
Working professionals with a minimum of 50% in their undergraduate degree of any discipline and 2 years of work experience in the industry are eligible for admission.
Yes, it is mandatory to have at least 2 years of work experience in your industry. As for short-term certification programs, you should have a good understanding and experience in the respective industry.
We assign a coordinator for the participants. If you have additional queries about the program, you can feel free to contact your coordinator.
Talk to your coordinator, he/she will guide you whether the program is beneficial to meet your career aspirations or not.
RACE cannot guarantee admission after the deadline of the application, even though you can contact us for admissions throughout the year. We will not admit more than 30 students in a batch. Once we admit the said number of students, we will close the admission for that batch. Once the admissions are closed for a particular batch, you can apply only for the next batch. Hence, it is highly recommended to complete the application process as early as possible
The duration of MS is 1½- 2 years and PGD is one year. The duration of short-term programs depend on the program requirements, which ranges from 5 to 16 Saturdays (1 month to 3 months).
Yes, the MS in Business Analytics is a UGC approved program.
We have facilities such as Simulations, Natural Language Technology Lab, Vision Technology Lab, and Deep Learning Accelerator to promote experiential learning in business analytics programs.
At present, we offer 5 different certification programs in Analytics such as Analytics for Business Decision Makers, Certification in AI and Deep Learning, Certification in Marketing Analytics, Certification in IoT Analytics, and Certification in Cybersecurity Analytics with AI/ML. We can accommodate only 10-15 participants for certification programs in each batch.
RACE offers weekend classroom training (only on Saturdays) for long-term programs. Both blended and online mode of delivery is applicable for short-term programs depending on the program you choose.
No, you don’t have the option to complete the programs online, except for the specifically mentioned short-term programs.
Yes, once you’ve joined the program, you will get the login details to access the Learning Management System (LMS), where you can find all the learning materials such as pre-readings, assignments, in-class resources, recorded videos of classroom sessions, additional reading materials, webinars, and other learning resources added as per the requirements.
We do provide discounts based on our promotional offers or you should meet certain eligibility criteria to avail discounts. If you have queries on the eligibility, then feel free to talk to your coordinator.
Access to both open source and proprietary tools are provided that are helpful in hands-on learning apart from the access to live capstone projects and case scenarios.
Yes, you can visit a classroom session to understand the teaching-learning process involved in our corporate programs. The coordinator assigned to you will assist you in your visit to our University.
The program outcomes differ from program to program. Upon the completion of each program, you will become a pro in relevant tools, industry skills, and industry best practices. Our programs enable you to achieve your professional and leadership goals.
Yes, it is possible to pay the fees in installments using convenient payment modes such as online bank transfer, credit/debit card transfer, cheque, Paytm transfer, etc.
Yes, we do offer placement assistance that includes career guidance, resume building tips and mock interviews. Each participant will receive staunch support from the industry mentors, who also direct you through various placement opportunities within the industry. Placements also happen through peer, alumni and mentor referrals. Above all, we are partnered with leading MNC’s that offer placement opportunities to our participants.
SUCCESS STORIES
Success is in the DNA of RACE. Decipher the successful journey of RACE through our mentors and participants.
We are training industry professionals and far ahead in imparting education specifically in cutting-edge technology education. RACE, REVA University is the best in terms of state-of-the-art labs. I’m proud to be associated with RACE since the beginning in developing course curriculum and content. What I feel good about RACE programs is that the programs offered here are not available pan India, except in few universities. The live projects of these programs give great exposure to the participants to get into future jobs.
I’m very grateful and proud to be part of the MBA in Business 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 I’m very grateful and proud to be part of the MBA in Business I’m very grateful and proud to be part of the MBA in Business I’m very grateful and proud to be part of the MBA in Business
The program added value to my experience in Data Science The program added value to my experience in Data Science 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. The program added value to my experience in Data Science The program added value to my experience in Data Science The program added value to my experience in Data Science
“I have been associated with REVA University for Corpddordate 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 helped me to make a career transition as a Data The program helped me to make a career transition as a Data Analyst. The well-structured MBA program of RACE has supported me in my career and has offered a lot of exposure in the data science/analytics domain. The structured and experiential learning at RACE will help the program participants to advance in their career. “The program helped me to make a career transition as a Data Analyst. The well-structured MBA program of RACE has supported
Being a program/project manager for the past 7 years and with 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.
