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Executive Post-Graduate Program in Data Science and Machine Learning (E-Learning)
Become a data-driven leader with a one-of-its-kind certificate program in data science and machine learning.
In association with
Full-Time
Fully Online FormatRecommended 12-15 hrs/week
12 MonthsU.S. Public University
Top 20Start Date
31st Dec, 2023End Date
31st Dec, 2024Program Overview
Key Highlights
Offered by a top 20 U.S. public university
Live Sessions by Industry Experts
Comprehensive curriculum covering concepts such as Inferential Statistics, Machine Learning, Predictive Modeling ,Framework to Artificial Intelligence & Business Strategy, Data-driven story telling
Programming tools and languages such as Python, SQL, Excel and Tableau
400+ hours of Learning & 70+ hours of live sessions
No prior coding/programming experience required
Recommended 12-15 hours per week
Why pursue a career in Data Science?
* 27.9% - The rise in demand for skilled and knowledgeable data scientists by 2026 as per The United States Bureau of Labor Statistics.
* 498,000 - Data Science jobs available as per LinkedIn.
* $75,000 - $ 145,000 - Salary range of skilled and experienced data scientist.
Program Brochure
Best-in-class personalised learning experience by University of Maryland Faculty and industry leaders in the form of videos, cases and projects.
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Top Skills You Will Learn
Statistics, Predictive Analytics using Python, Machine Learnview more
Graduation Requirements
A Executive Post-Graduate Program in Data Science and Machinview more
Who Is This Program For
Software Engineers who wish to enter DS, Mid Level IT profesview more
Minimum Eligibility
Minimum Age: 21 Years Old
Academic Level: Bachelor’sview more
Academic Level: Bachelor’sview more
Programming Languages and Tools Covered
Executive Post-Graduate Program in Data Science and Machine Learning (E-Learning)
Upon successful completion of the Program, you receive a verified Executive Post-Graduate certificate from University of Maryland's Robert H. Smith School of Business
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- Showcase your certificate from a globally recognized university
- Get a chance to network with industry experts and peers during the course
- Gain demonstrable hands on skills in data science and machine learning
Programme Developed with Global Experts
Anil Gupta
Michael D. Dingman Chair in Strategy and Entrepreneurship DBA, Harvard University Management and Organization.
Michael D. Dingman Chair in Strategy and Entrepreneurship DBA, Harvard University Management and Organization.
P. K. Kannan
Dean's Chair in Marketing Science
Associate Dean for Strategic Initiatives Dean's Chair in Marketing Science PhD in Management, Purdue University Marketing.
Kislaya Prasad
Research Prof. Academic Dir., Center for Global Business
Research Professor Academic Director, Center for Global Business PhD, Syracuse University Decision, Operations and Information Technologies.
John Bono
Assoc. Clinical Prof. Dept. of Decision, Operations & IT
Associate Clinical Professor Decision, Operations and Information Technologies; PhD in Information Systems, Nova Southeastern University.
Lauren Rhue
Assistant Professor of Information Systems
Assistant Professor of Information Systems PhD, Stern School of Business, New York University Decision, Operations and Information Technologies
Kunpeng Zhang
Assistant Professor Ph.D., Northwestern University Decision, Operations and Information Technologies.
Assistant Professor Ph.D., Northwestern University Decision, Operations and Information Technologies.
Margrét Bjarnadóttir
Associate Professor Ph.D., MIT Decision, Operations & IT
Associate Professor Ph.D., MIT Decision, Operations and Information Technologies.
Syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions.
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1:50
Teacher-Student Ratio70+
Hours of Live Session400+
Hours of Learning12 Months
Curriculum DurationData Analysis in Excel
Data Science Toolkit
Statistical Analysis & Visualisation
Machine Learning
Capstone 1
Advanced Machine Learning & Business Strategy
Advanced Machine Learning II
Capstone 2
Industry Projects
Learn through real-life industry projects.
- Engage in collaborative projects with student-mentor interaction
- Benefit by learning in-person with Expert Mentors
- Personalised subjective feedback on your submissions to facilitate improvement
Deriving Business Insights and Storytelling
Work from the top-down on a real business problem, breaking it down into a data-oriented problem and come up with solid recommendations for the business.
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Regression
Use all the skills learnt in statistics and regression to build a predictive regression model.
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Classification
Solve a real-industry problem using the classification and model selection techniques.
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IMDb Movie Analysis
Analyze IMDb movies data from the past decade and find out various insights
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Stock Market Analysis
Use the concepts of Pandas and Matplotlib to analyze insights for stock prices of Amazon.
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Supply Chain Case Study
Apply the concepts of SQL and Python to explore insights for a global business-to-consumer and business-to-business e-commerce platform.
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Airbnb Assignment
Analyze the Airbnb listings for a city using Tableau and build a dashboard that helps people identify interesting patterns and compare prices
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Mobile App Efficacy
Use the concepts of Exploratory Data Analysis, Statistics, and Linear Regression to analyze the effectiveness of a mobile application in driving the revenue for a hotel chain.
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Credit Worthiness Model
Build an end-to-end machine learning solution that helps a bank determine which customers they should lend credit to based on their profitability.
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Lending Club Case Study
Use the concepts of Tableau and Data Storytelling to build a dashboard that describes the lending process of a peer-to-peer online loan provider - Lending Club
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Why working professionals vouch for us?
Dedicated support to help you master data science and business analytics.
Learning Support
Student Support (Non-Academic queries)
- Student Support Team is available 24*7
- Email us on studentsupport@upgrad.com OR use the "Talk to Us" option on the Learning platform
Doubt Resolution (Academic)
- Live Discussion forum for peer to peer doubt resolution monitored by technical experts
- 1-1 Doubt solving sessions with Teaching Experts
- Informal peer groups on WhatsApp for doubt solving
Networking Opportunities
Industry Networking
- Global batchmates & alumni: Our learners are from 85+ countries
- Virtual networking sessions to interact with batchmates and alumni
- Online discussion forums for peer to peer interaction
- Learn & network with our industry experts, career coaches
- Informal peer groups: Our Learners form groups on Whatsapp for interaction & networking purpose
Career Services
Services
- Industry leaders to guide you on job opportunities, career path in the field of Data. Support on polishing your hard skills and soft skills for interview preparation.
- Resume and Linkedin Profile Building to enhance your career
- Global job opportunities
Admission Process
There are 3 simple steps in the admission process which is detailed below:
Step 1
Application Form
Fill in Application Form
Step 2
Program Counselling
Pre-course counselling to be conducted by our seasoned admissions counsellor
Step 3
Get Shortlisted
Obtain the offer letter if you have met our admissions requirements
Step 4
Application Fee
Pay the application fee and sign the requisite documents
Step 5
Finalise Enrolment
Pay the course fee and complete your orientation to start your journey
Course Fee (24 Months)
₹ NaN (No taxes applicable)*
Application Fee: AED 1800 or USD 500*
Refer someone you know and receive cash reimbursements of up to $500!*
*Referral offer is valid on all Data Science Courses*
Empowering careers of tomorrow
Supporting Leaders of tomorrow
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Student Reviews from a similar course by upGrad Education
Aravind Vorungati
I have joined the program couple of months back and the course content and experience so far is meaningful and insightful. Live sessions with industry leaders are organized every weekend to enable us to correlate concepts learned to real world and Harvard Business school simulation projects for practice.
Detailed Review
Shaifali Aggarwal
For me course is a perfect fit as it allows me to continue my current job and complete MBA at the same time. For me more than job, learning is important. Also, content is suitable for me considering I already have 5+ years of experience .
Detailed Review
Akshay Mathur
Absolutely, go for it If you are a working professional and who can devote minimum 5–6 hrs a week towards online learning. The beauty of this program is its practical learning aspect with various case studies, simulations and live lectures on weekends. Apply these learning in your professional world and you would see the difference.
Detailed Review
Frequently Asked Questions
What are some of the topics that will be covered?
Statistics, Predictive Analytics using Python, Machine Learning, Data Visualization, Predictive Modelling, Business Problem Solving, Deep Learning.
Who is this program for?
Software Engineers who wish to enter DS, Mid Level IT professionals, Non Technical Business Analysts, Marketing/ Healthcare/ Domain based professionals who wish to apply analytics, Early career technologists with understanding of math and basic logic for programming
What are some of the job opportunities after graduation?
Data Analyst, Data Scientist, Financial Analyst, Management Analyst/Consultant, Market Researcher, Operations Research Analysts, Independent Consultant, Business Analyst, Predictive Modeling Analyst/Consultant, Business Intelligence and Analytics Manager, Strategy Consultant, Risk Analyst
How long is the course?
12 months.
How many hours do I need a week?
12-15 Hrs / Week
What are the equivalent requirements for IELTS 6.0?
upGrad Institute IELTS 6.0 Equivalent Chart
- International English Language Testing System (IELTS), score of 6.0 and above
- Test of English as a Foreign Language (TOEFL), score of 80 and above
- Pearson Test of English (PTE), score of 54 and above
- Cambridge English for Speakers of other Languages (ESOL),Level 1 and above
- Cambridge Occupational English Test (OET), score of C/250+ and above
- Cambridge CPE and CAE, score of 169 and above
- Test of English for Education Purposes (TEEP), score of 6.0 and above
- Oxford International Business English Certificate (OIBEC), Pass
- Duolingo English Test, score of 105 and above
- GCSE English, grade C and above
- GCE A-level English Language, grade C and above
- GCE AS-level English language, grade C and above
- Cambridge O-level, grade C and above
- Cambridge International GCSE, English as First Language, grade C and above
- Cambridge International GCSE, English as Second Language, grade C and above
- International Baccalaureate: English A, 4 at SL or HL and above
- International Baccalaureate: English B, 4 at SL or HL and above
- For HongKong learners taking the HKDSE exam, Grade 4 and above
- For HongKong learners taking the HKAL exam, Grade C and above
- For Indian learners taking the National Board Standard XII exam, 70% and above
- For Indian learners taking the State Board Standard XII exam, 80% and above
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Write to us at info.emea@upgrad.com
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