University of Maryland

Executive Program in Data Science and Machine Learning

Become a data-driven leader with a one-of-its-kind Executive Program in Data Science and Machine Learning. Taught by top Academicians & industry experts, this 360 degree program will put you at the forefront of the Data Science & Machine Learning revolution. No prior coding experience required.

Starts on 30 September 2023 – 13 Months Duration


This program is offered in partnership with upGrad, a global leader in higher online education with 2 million learners across 100 countries worldwide. With the latest technology, pedagogy, industry partners and world-class faculty, upGrad creates immersive online learning experiences for learners globally.

University of Maryland

Executive Program in Data Science and Machine Learning

On successful completion of the Program, you receive this certificate from University of Maryland’s Robert H. Smith School of Business.

  • Earn 3 certificates which cover the breadth of data science and machine learning skills in just 12 months
  • Showcase your certificate from a Top 20 U.S. Public university
  • Gain demonstrable hands-on skills in data science and machine learning

Key Program Highlights


Online, weekly live sessions, small group coaching


University of Maryland accredited


12 months


Diploma or Bachelor Degree, some experience of programming languages preferred but not essential, English language proficiency 


USD 3,200 


Personalized industry mentorship

Course Overview

Data Analysis in Excel

Introduction to DS Landscape
Python Programming Essentials I – Variables, Expressions, and Control Statements
Python Programming Essentials II – Functions and Data Structures
Python Libraries for Data Science – NumPy
Python Libraries for Data Science – Pandas
Python Assignment
Data Analysis using SQL
Practical Data Considerations: Data Cleaning and Preparation
Course Project: Python

Exploratory Data Analysis
Visualization in Python
Visualization using Tableau
Data Storytelling
Visualisation and Storytelling Assignment
Inferential Statistics
Hypothesis Testing
Designing Business Experiments
Course Project: Statistics

Linear Regression in a predictive setting
Introduction to Classification: Logistic Regression
Evaluation methods in Classification Models
Model Selection & Practical Consideration around Modelling + KNN
Decision Tree Models
Introduction to Ensemble Models: Random Forest & Boosting
Unsupervised Learning: Clustering
Unsupervised Learning: Association Rules Mining (Market Basket Analysis)
Course Project: Machine Learning

Introduction to Deep Learning
Classification & Regression Models using Neural Networks
Introduction to Convolutional Neural Networks
Introduction to Natural Language Processing
Modelling on Text data
Framework to AI & Business Strategy
Executing AI Strategy

Advanced Python Programming
Advanced SQL
Introduction to Time Series
Recommender Systems
DL in Tf & Optimization (Optional)
Applications in CV

Capstone Project II

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