Data Science and Business Analytics

A professional certificate program

Program Overview

Today, from regional offices to the boardroom - data drives decisions. Data science professionals are directly involved in the highest levels of the corporate and organizational decision-making process. Data Science is one of the most in-demand sectors globally for 2021. Every industry, be it finance, retail, healthcare or information technology, has opened its doors for data science and analytics professionals. According to a report shared by the U.S. Bureau of Labor Statistics, data science expertise will drive a 27.9% rise in employment by 2026.

Business analytics is all about uncovering insights from raw data and using it to influence business decisions positively. When companies analyze their past performance, they identify market and strategy opportunities. The potential of business analytics is not limited to identifying opportunities to boost decision-making and operational efficiency. Companies use analytics to conduct market and competitor research to find new markets, new customer segments, new product ideas, etc. As an increasing number of organizations realize the potential of data backed by different data science technologies, the demand for skilled professionals is also rising. The global business analytics market continues to grow steadily, indicating that there is a rapidly growing demand for certified business analytics experts.

In partnership with upGrad, this fully online program takes the professional learner through 40 weeks of curated learning modules with Maryland Smith faculty.

Next Cohort Start Date: June 30, 2022

Valuable Program Outcomes

This program will help you:

  • Develop your knowledge of the most popular analytics tools and technologies.
  • Develop the capacity to use analytics and data science to solve business problems on your own.
  • Learn about Data Science uses and ramifications in various Industries like BFSI, Retail, E-commerce and Healthcare.
  • Learn how to extract key business insights from data and convey them to stakeholders in a clear and concise manner.
  • Create models that forecast future trends and utilise them to guide business decisions.
  • Apply the cutting edge ML algorithms to develop solutions for real-life business problems.
  • Design the AI strategy for your vertical and evaluate the various factors involved in its implementation.

Program Topics

  • Data Analysis in Excel
  • Analytics Problem Solving
  • Intro to DS Landscape + Business Problem Solving
  • Introduction to Python Programming - I
  • Introduction to Python Programming - II + Assignment Python for Data Science
  • Python for Data Science Practical Consideration Python Assignment
  • Data Analysis using SQL
    • Visualization in Python
    • Visualization using Tableau
    • Exploratory Data Analysis - I
    • Exploratory Data Analysis - II
    • Data Storytelling
    • Visualization and Storytelling Assignment
    • Inferential Statistics
    • Hypothesis Testing
    • Designing Business Experiments
    • Introduction to Linear Regression in Explanatory & Inferencing Setting
    • 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
    • Assignment
    • Unsupervised Learning: Clustering
    • Unsupervised Learning: Association Rules Mining (Market Basket Analysis)
    • Introduction to Ensemble Models: Random Forest & Boosting Introduction to Deep Learning
    • Classification & Regression Models using Neural Networks Introduction to Convolutional Neural Networks
    • Introduction to Natural Language Processing
    • Modelling on Text Data
    • Assignment
    • Framework to AI & Business Strategy
    • Executing AI Strategy
    • Select from an industry/domain of your choice.
    • The capstone project will address a specific problem, issue or concern and ask learners to find creative, sustainable solutions based on the program learnings.

    Program Structure

    Format: Online (recorded video lectures + interactive mentored learning)

    Learning support: Dedicated program manager + industry mentor

    Time commitment: 10-12 hours (per week)

    Duration: 7 months

    Projects: 20+ case studies and assignments, 1 capstone project in an industry of your choice

    Who Should Take This Program

    This program is designed for business professionals who are exploring unique, innovative ways of driving growth and productivity in their businesses through a thorough understanding of data, analysis of data and trends, data tools and data driven decision making.

    Course participants are expected to have earned an undergraduate degree prior to commencing this program. Please contact for more information and to speak with an admissions counselor.


    Course start date: June 30, 2022

    What do you receive for completing this program?

    Digital Professional Certificate from the University of Maryland (non-credit bearing)

    Program fee: $3,499 USD


    Please see the program registration page or contact for more information!


    Faculty Experts

    Program Director

    Kislaya Prasad

    Kislaya Prasad

    Research Professor
    Academic Director, Center for Global Business

    Featured Faculty

    Margrét Bjarnadóttir

    Margrét Bjarnadóttir

    Associate Professor
    John Bono

    John Bono

    Associate Clinical Professor
    Associate Department Chair
    Anil K. Gupta

    Anil K. Gupta

    Michael D. Dingman Chair in Strategy and Entrepreneurship
    P. K. Kannan

    P. K. Kannan

    Associate Dean for Strategic Initiatives
    Dean's Chair in Marketing Science
    Lauren Rhue

    Lauren Rhue

    Assistant Professor of Information Systems
    Kunpeng Zhang

    Kunpeng Zhang

    Assistant Professor
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