Masters in

DATA SCIENCE AND MACHINE LEARNING

A Program By: In Collaboration With:

From the Chancellor's DeskAn understanding of Data Science and Analytics techniques has become indis-pensable for the youth who aspire to enter the industry today. Every organi-sation today is looking at how to grow their business. This according to me is where Data Science graduates will play a crucial role. Application of knowledge to uncover solutions which is embed-ded in data is a great business chal-lenge today. In these pandemic times, understanding business issues, address-ing them with analytical solutions is what is important.

In order to pursue this skill it is import-ant that a Data Science aspirant goes beyond simple skills in Statistics and Computer Science but also goes through an appropriate programme of study which will teach a student about techniques, theories from related fields of Mathematics and other skills like communication and public speaking. With a new avenue of career options opening up for the young aspirant, the demand for strategic decision makers for business will be in great demand. Keeping this requirement in mind, we at REVA decided to offer this topmost pro-fessional course as a part of the REVA bouquet of offerings. Companies need specialized people who are good at handling, exploring, analysing data. In these challenging times, REVA Universi-ty has collaborated with Great Learning to bring the best of the data era to you

with a single step entry into the REVA campus. It is important that we grow sensitive to the growing importance of Data Science and realize how this pro-gram is poised to give you a meaningful learning experience in the same. I wel-come you to this new, exciting journey at REVA!

Dr. P. Shyama RajuChancellor, REVA University

*Sources: PWC, NASSCOM, Analytics India Magazine.

The Time Is Now

46%Data Science professionals in India have a work experience of less than 5 years.

2.7 MillionThe 2020 global estimate calls for 2.7 million job postings for analytics and data science roles.

2020India to become one of the top three markets for Big Data by 2020.

61%Data Science & Machine Learning jobs are open for candidates with 0-5 years experience.

2 LacProjected job openings for Data Scientists in 2020 in India.

REVA University Credentials

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India's Best Private University*India Today

#3 Ranked University in Karnataka(New Universities Under 5 Years)*KSURF

GOLD Band RatedIndian University*QS I-Gauge

#6 Ranked University in IndiaCategory of Super Excellence*GHRDC

Great Learning’s Credentials

Top Ranked Programs

17

Million+Hours of Learning Delivered

22

Learners25000+

Industry ExpertsHours of Learning Delivered

1500+

Industry Hiring Partners

350+

Best Ed-Tech Company of the

Year*

*EdTechReview Awards 2020

Program HighlightsTo help professionals become data-pro-ficient and build career critical compe-tencies, REVA University has collaborat-ed with Great Learning to offer a Masters Program in Data Science and Machine Learning.

The program enables participants to gain an in-depth understanding of datascience and machine learning tech-niques and tools that are widely used by companies. It takes a very practical ap-proach to impart industry-relevant skills, and enables participants to become job-ready.

21-Month Weekend Classroom Program

Classes at REVA University Campus, Bengaluru, India.

Career Support with GL Excelerate

Masters Degree from REVA University

This program would be suitable for you if:

You want to build a career in Data Science

You’re looking for a structured learning journey

You’re interested in building real-world Data Science skills

You want an immersive hands-on learning experience

Upon program completion, you will receive a Masters Degree from REVA University in Data Science and Machine Learning

On completion of this program you will:

Be able to leverage the latest Data Science tools and techniques in a Data Science role

Be able to structure business problems in Machine Learning and Data Science frameworks

Become an ideal candidate for Data Scientist, Data Analyst and Business Analyst, ML Engineer and Big Data Engineer roles

Program Curriculum

Python for Data science

Statistical Methods for Decision Making

Databases - SQL & NoSQL

Mathematical Foundation for Data sciences

Machine Learning-I (end to end ML Workflow & Deployment)

Data Visualization using Tableau

Structuring & Visualizing Analytics Problems (SVAP)

Data Science and Machine Learning concepts will be covered in the first 2 semesters, followed by an intensive capstone project and a masters thesis in the second year.

SEMESTER 1

Machine Learning-II (Classification, Ensemble Techniques)

Natural Language Processing

Machine Learning-III (Unsupervised Learning, Recommendation Systems)

Time series Forecasting

Introduction to Deep Learning and it's Applications

Introduction to Big Data

Business Analysis and Communication

SEMESTER 2

Masters Thesis

Capstone Project

YEAR 2

*This is an indicative curriculum and is subject to change

Testimonials*

Alvino AjiBusiness Analyst, Uber

“I had an opportunity to get interviewed by some of the top companies. Career support here is what that stands out and makes Great Learning better apart from other reasons. Thanks to the guidance given here I grabbed this opportunity and joined my dream company as a Fresher.”

Ashish Anil MishraAnalytics Consultant, Fractal Analytics

“Initially, I found it difficult because I had very less prior exposure to programming. But as the sessions progressed, it became easier because of classroom training, rigor-ous practice, take-home lab exercises, and support from the colleagues. As the batch progressed, new tools were introduced by the faculty in a manner which helped even first-timers.”

*Testimonials from Great Learning’s Data Science Program

Bhavya LabishettyData Scientist, OPPO

“One of the best things about the pro-gram was the kind of peers I got to inter-act with. Everyone had a new approach to understand the problem. I will be grateful for their support and being one of the rea-sons for me to get better.

With the help of Career support, I got to interview with many companies like Niels-en, Bridgei2i Analytics, Oppo etc. Using the foundations from topics learnt and working on those concepts was necessary to crack the interviews.”

Iva NandaAnalyst, Catersian Consulting

“The course helped me by providing expo-sure to real-time analytics projects and career connections. This gave me a jump start in my data science and analytics jour-ney.

The course was interesting and I appreci-ate the experienced faculty who shared their industry knowledge. I was able to develop a comprehensive understanding of analytics through the course. The indus-try exposure was helpful because we got to work on real-life data sets.”

Career Support

GL ExcelerateCareer Fair

We conduct regular career fairs in vari-ous cities to connect our students to industry opportunities. Our recent career fair saw leading hiring partners like Accenture, HSBC, Ust-Global, Rakuten, Myntra, DXC Technologies, Tredence, Brillio, TheMathCompany, AB InBev etc. conduct over 300 inter-views for positions such as Business An-alyst, Data Analyst, Data Scientist etc.

Personal CareerCoach

Get access to career mentoring depending upon your experience inthe industry with a personal career coach. The coaches are either from the data science industry or have transi-tioned into data science and analytics roles so the candidates benefitfrom their guidance on how to build a career into analytics in a specificindustry.

e-Portfolio &Resume BuildingSessions

An e-portfolio is a snapshot of the all the projects done and skills acquired during the program that is shareableacross social media channels. We also help you build your resume to highlight your data science skill-set along with your previous professional experience.

Great LearningJob Board

The program provides candidates access to the Great Learning Job Board.350+ organisations approach us with 30-40 job opportunities monthly which are shared through the Job Board with our candidates. We've seen over 7000+ alumni transition to the careers of their choice, with an average salary hike of 48%.

All program participants will receive career support through GL Excelerate.

Some Top Companies That Hire From Us

+300 More Companies

Admission DetailsEligibility

Program Fees

Financial Aid

Scholarship options available for candidates based on merit.

`5,00,000 + GSTOne-Time Payment:`4.7 Lakhs (`30,000 Waiver)Installments: Pay `1.5 Lakhs before program commencement, followed by 3 equal quarterly installments.

B.Tech, B.E or an M.C.A degree & a minimum of 60% in X, XII & Bachelor's degree.

InterviewInterview with Program Director/ Faculty

04

Selection Process

The program is conducted in a limited cohort of 60 learners per batch.

Kindly apply early to secure your seat.

Fill application formApply by filling a simple online application form

01

Application reviewAdmissions committee will review and shortlist

02

Admissions test Write and clear the admissions test

03

Great Learning’s mission is to make profes-sionals proficient and future-ready. Its pro-grams always focus on the next frontier of growth in industry and currently straddle across Analytics, Data Science, Big Data, Machine Learning, Artificial Intelligence, Deep Learning, Cloud Computing and more. Great Learning uses technology, high-quality content, and industry collabo-ration to deliver an immersive learning experience that helps candidates learn, apply, and demonstrate their competen-cies. All programs are offered in collabora-tion with leading global universities and are taken by thousands of professionals every year to secure and grow their careers.

With a 35,000 strong alumni network, REVA University has been Rated as India's Best Private University (*India Today) and #3 Ranked University in Karnataka (*K-SURF). The University is a constituent of the REVA Group of Educational Institutions governed by the Rukmini Educational Charitable Trust. The co-educational uni-versity in Bangalore offers UG, PG and doc-torate courses in streams such as Engineer-ing, Architecture, Commerce and many more. Currently, nearly 15,000 students are enrolled in the university, taught by approximately 600 highly-qualified faculty members.

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In collaboration with

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reva-masters-dsml@greatlearning.in

www.greatlearning.in

+91 74289 92660

Rukmini Knowledge Park, Kattigenahalli,Yelahanka, Bengaluru - 560 064,Karnataka, India.