
MS in Data Analytics
Kick start your Master’s journey with Clark University, US. Receive dual Accreditation – Advanced Certificate Programme in Data Science from IIIT Bangalore and MS in Data Analytics from Clark University, US on completion of course.

8 Months Online
12 Months On-campus in US

20 Months
12 – 15 hrs/week (Yr 1)

Jan 31, 2022
Start Date

GRE
Waiver

Apply for Upto 3 Years of OPT
Eligibility

600 - 650
QS World University Rankings 2022
About the Program
Blended programme which combines 8 Months online at IIIT Bangalore with 12 Months on-campus at Clark University, US, hence getting you best of both the worlds.

Blended Program
Study 8 Months online with IIITB and upGrad, 12 Months at Clark University, US

Customizable Curriculum
Choose from 7 electives at Clark University, US

End-to-end counseling and visa support
upGrad team will help you with application to Clark University, US, securing confirmed offer letter & support with US visa application.
Program Overview
Key Highlights

Dual certification - IIITB as well as Clark University

GRE Waiver for IIITB learners

In-built IELTS prep to be provided by upGrad

STEM programs leading upto 3 years of OPT

upGrad end to end support for applications and visa

World Class Faculty Members & Industry Experts

Dedicated Student Success Mentor

One-on-One with Industry Mentors

Career Essential Soft Skills Program
Programming Languages and Tools Covered




Top Skills You Will Learn
Statistics, Python Programming, Predictive Analytics using Python, Basic & Advanced SQL, Visualization using Python, EDA, Basic & Advanced Machine Learning Algorithms

Job Opportunities
Data Analyst, Data Scientist, Product Analyst, Machine Learning Engineer, Business Analyst.

Who Is This Programme For?
Engineers (Freshers and with any experience), Software and IT Professionals, Product & E-commerce Folks, BFSI Professionals, Marketing and Sales Professionals, Managers or Executives at Manufacturing, Construction etc.

Minimum Eligibility
Syllabus
- Pre-Programme Preparatory Content (Year 1)
- Data Toolkit (Year 1)
- Machine Learning (Year 1)
- Course 3 (Year 1)
- Data Analytics (Clark University) (Year 2)
- Optional Courses: (Choose Any 1) (Year 2)
- Data Analysis in Excel
- Analytics Problem Solving
- Tools Covered
- Introduction to Python
- Programming in Python
- Python for Data Science
- Visualisation in Python
- IMDb Movie Assignment
- Exploratory Data Analysis
- Inferential Statistics
- Hypothesis Testing
- Data Analysis using SQL
- Credit EDA Case Study
- Tools Covered
- Introduction to Machine Learning and Linear Regression
- Linear Regression Assignment – Bike Sharing Systems
- Logistic Regression
- Unsupervised learning: Clustering
- Business Problem Solving
- Clustering Assignment
- Case Study: Lead Scoring
- Tools Covered
- Data Science Generalist – Advanced Machine Learning And Storytelling
- Natural Language Processing / Deep Learning – Machine Learning – II
- Business Intelligence – Sql And Nosql Databases
- Business Analytics – Advanced Machine Learning
- Data Engineering – Data Engineering – I
- Mathematical Statistics
- Linear Regression and Time Series
- Fundamentals of Data Engineering
- Data Mining With Splunk
- Applied Machine Learning
- Data Visualization and Story Telling
- Capstone Practicum
- Research and Marketing Analytics
- Securing Communication Technologies through Data Analysis
- Health Data and Record Systems
- Health Informatics
- Internship
- Independent Study
The upGrad Advantage
Strong hand-holding with dedicated support to help you master Data Science

Learning Support
More Info

Doubt Resolution
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Networking
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Industry Mentors
- Receive unparalleled guidance from industry mentors, teaching assistants and graders
- Receive one-on-one feedback on submissions and personalised feedbacks on improvement
Student Success Mentors
- Student support is available 7 days a week, 24*7
- You can write to us via studentsupport@upgrad.com or for urgent queries use the ” Talk to Us” option on the learn platform.

Q&A Forum
- Timely doubt resolution by Industry experts and peers
- 100% Expert-verified responses to ensure quality learning
Expert Feedback
- Personalised expert feedback on assignments and projects
- Regular live sessions by experts to clarify concept related doubts

Industry Networking
- Live sessions by experts on various industry topics
- One-on-one discussion and feedback sessions with industry mentors

Programme Fee – Indian Residents
Programme Fee – 2nd Year
Indicative Tuition Fees at Clark University – USD 16,800
Living cost per annum in US – USD 15,000 – 17,000
Frequently Asked Questions
What is the MS in Data Analytics with upGrad?
The MS in Data Analytics is an engaging yet rigorous 8 months online and 12-month on-campus program designed for students to develop practical knowledge and skills, establish a professional network, and accelerate entry into data science careers. The student as part of this program will receive dual certification, an Advanced Certificate Programme in Data Science from IIITB and Master degree from Clark University, US.
What should I expect from the MS in Data Analytics?
You should expect to carry out several industry-relevant projects simulated as per the actual workplace, making you a skilled data science professional at par with leading industry standards. On completion of programme, you will have option to apply for OPT in US as well as get support from Clark University Career Services to build career in US.
Which topics are going to be covered as part of the programme?
The programme is designed for professionals with limited data analytics experience to help them build their understanding from the basics to an advanced level. The programme covers tools such as Python, MySQL and Excel, as well as important Data Science concepts such as statistics and exploratory data analytics, regression, clustering, tree models, model selection and principal component analysis.
What type of learning experience should I expect?
The online learning experience will be a mix of interactive lectures from industry leaders as well as world-renowned faculty. Additionally, the program comprises live lectures dedicated to solving your academic queries and reinforcing learning. On-campus learning experience will be in class experience face to face with the faculty.
For queries, feedback & assistance
upGrad Learner Support
Disclaimer:
upGrad is India’s largest online higher education company, as per monthly visit data and total visits data for the last 28 days received from similarweb, as on April 13, 2020. Deakin University CRICOS Provider Code 00113B.