Overview
Data Science and Machine Learning are both fields that are growing at an exponential rate. The practical applications of these fields are limitless and can be used to predict future decisions of customers from past data or even program machines to do the same. As can be seen here, both these fields provide real-time benefits such as informed and logical decision-making and therefore can help businesses tailor their strategies, products, and services to meet their customers’ needs based on past data and trends. Studies conducted by the US Bureau of Labor Statistics show that the field of data science is expected to grow by 36% by 2031 while other studies show that the field of machine learning will be worth almost $210 billion by 2029 (a CAGR of almost 39% from 2022 – 2029). Both these fields provide tremendous opportunities for growth if candidates have the right educational qualifications and skill set.
Gaining your post-graduation in machine learning and data science through the University of Maryland can provide many benefits such as shown below:
career advice sessions
every fortnight with
interview prep and
resume building services.
certificates from one of
the top 20 US public
universities and gain a
competitive edge over
other peers in your field.
and networking
opportunities through
industry and capstone
projects.
structure
curriculum with 10+ case
studies and programming
languages with industry experts,
and doubt-clearing
sessions.
Syllabus
The post-graduate degree provided by the University of Maryland in data science and machine learning covers a variety of topics including data storytelling, performance measures as well as deep learning among others. Check the list below to find out more details about the course syllabus.
Category | Courses |
Preparatory Course | Data Science Toolkit |
Foundation | Pre-Program Preparatory Content |
Course 1 | Data Science Toolkit |
Course 2 | Statistical Analysis and Visualisation |
Course 3 | Machine Learning |
Course 4 | Capstone Project |
Course 5 | Advanced Machine Learning and Business Strategy |
Course 6 | Advanced Machine Learning 2 |
Course 7 | Capstone Project 2 |
PG in Data Science Eligibility
An undergraduate level education or an associate degree.
Final-year students can also apply.
PG Diploma in Data Science and Machine Learning Benefits
Advanced knowledge of data science and machine learning concepts, tools, and languages such as Excel, python, etc.
Increased job opportunities through a career boot camp after completion of the postgraduate program.
Access to an extensive network of peers and experts for networking opportunities
Case studies and capstone projects with a real-world focus.
Job positions
- Data Engineer
- Data Analyst
- Data Architect
- Research Assistants
- Data Scientist