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Executive Program in Data Science and Machine Learning

Admission Key Facts:

Anyone with high school graduate/associate degree or above can pursue this program.

Enrolment process

Step 1: Complete your application

Step 2: Get shortlisted and receive your offer letter

Step 3: Reserve your seat

Course Overview

● Choose your own sector for the project (Tech, E-commerce, BFSI, Retail, Healthcare to name a few).

● Get mentored on the career front by an experienced professional and receive personalised feedback.

● Student support available 9 am to 9 pm via the Call Back option on the platform to get a response within 2 working hours. 24×7 email assistance.

Program Outline/Syllabus

  • Prep
  • Data Science Toolkit
  • Statistical Analysis & Visualisation
  • Machine Learning
  • Capstone
  • Advanced Machine Learning + Business Strategy
  • Advanced Machine Learning II

Course Overview

  • Choose your own sector for the project (Tech, E-commerce, BFSI, Retail, Healthcare to name a few).
  • Get mentored on the career front by an experienced professional and receive personalised feedback.
  • Student support available 9 am to 9 pm via the Call Back option on the platform to get a response within 2 working hours. 24×7 email assistance.

The University of Maryland, College Park is a flagship state university and one of the nation's preeminent public research universities. A global leader in research, entrepreneurship and innovation, the university is home to more than 40,700 students, 14,000 faculty and sta, and nearly 400,000 alumni all dedicated to the pursuit of Fearless Ideas. Located just outside Washington, D.C., they aspire to discover and share new knowledge every day through their renowned research enterprise and programs in academics, the arts and athletics. And they are committed to social entrepreneurship as the US's first “Do Good” campus.


 Highlights /Why us?

● Offered by a top 20 U.S. public university

● Executive Program Certificate from University of Maryland's Robert H. Smith School of Business on successful completion of the program

● Personalized small group coaching sessions for a group of 8/10 students from Industry Mentors once every fortnight

● 10+ Case studies and assignments & 2 Capstone project from the domain of your choice

● Comprehensive curriculum covering concepts such as Inferential Statistics, Machine Learning, Predictive Modeling, Framework to Artificial Intelligence & Business Strategy, Data-driven story telling

● Earn 3 certificates which cover the breadth of Data Science and Machine Learning skills in just 12 months

● Weekly live sessions by top academicians from University of Maryland's Robert H School of Business

● 400+ hours of Learning & 100+ hours of live sessions

● Programming tools and languages such as Python, SQL, Excel and Tableau

● No prior coding/programming experience required

✔ What will I learn?

● Student support team & upGrad buddy

● Weekly real-time doubt clearing sessions

● Live discussion forum for peer-to-peer doubt resolution monitored by technical experts

● Peer-to-peer networking opportunities with an alumni pool of 10,000+

● Learn through 10+ industry-driven case studies

● Access to the program for up to 3 years

● Industry projects to choose from domains like banking, finance, healthcare, retail, media and manufacturing among others

● Multiple live interactive sessions with industry experts, Personalized group mentorship sessions once every fortnight and a dedicated student support team for proactive mentoring

● In addition to recorded lectures by world class faculty, there'll be 100+ hours of live sessions from faculty members and industry experts to help with conceptual walkthroughs, doubt resolution, career guidance and real-life case studies

● Teaching assistant hours every week to supplement your learning so that your learning never halts

● Excel in your personal & professional life with upGrad’s soft skills program.


What do I need? 

Anyone with high school graduate/associate degree or above can pursue this program.

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Enrolled: 0 students
Duration: 12 months