5 Best Online Degrees in Maths and Data Science.

Advancing your career while working full time has always been complicated, with various arrangements like night school and marathon weekend classes that are both time and energy draining. The introduction of digital learning has resulted in greater opportunities for learning new things and even acquiring that prestigious degree from that university you admire, enhancing your CV and improving your overall value. Many reputable universities have made it possible to get a degree remotely. The study hours are flexible hence the possibility to achieve your education goals while working full time.

In this write up we share some of the best degrees from top universities.

1. Degree: Master of Computer Science

School: University of Illinois

If you want to launch or advance a successful data science or computer science career, you can learn the most in-demand skills while earning your Master of Computer Science. As a graduate, you’ll be qualified to pursue a variety of roles: scientist, analyst, engineer, leader, and more. In 2023, Fortune ranked University of Illinois as having the #1 Best Online Master’s in Data Science Program.

The University of Illinois at Urbana-Champaign is a global leader in research, teaching, and public engagement. The UIUC Computer Science Department was named a top-5 computer science school in 2022 by U.S. News and World Report. MCS faculty are known for a pioneering legacy, as they have been at the forefront of new industries and technologies.

2. Degree: Master of Applied Data Science

School: University of Michigan

Learn in-demand data science skills and how to apply them to real-world problems with the online Master of Applied Data Science (MADS) degree from the University of Michigan School of Information.

In this online degree program, you’ll have the unique opportunity to develop an end-to-end perspective on data science and prepare for leadership in the field. As a MADS student, you’ll master core concepts and delve into essential topics such as big data, data ethics, data privacy, machine learning, natural language processing, network analysis, and more. By working with real data sets from top companies, you’ll put learning into practice, build your portfolio, and be ready to advance a successful data science career in any industry.

The only prerequisites to enroll in the program are knowledge of statistics and Python. You are not required to have a bachelor’s degree in a science or math discipline, or work experience in a technical field. We do not require the GRE or any other additional tests as part of your admissions process.

3. MSc Data Science (Statistics)

School: University of Leeds

If  you’re a graduate, ready to start your career and build on your existing data-driven degree and knowledge of maths and statistics, or a professional looking to advance your career in a quantitative STEM field, this MSc in Data Science (Statistics) is what you need.

After completing this programme from the University of Leeds, you’ll be ready to step into business-critical senior roles in areas such as healthcare, business, retail, government  or environmental science.

You’ll become adept in data analysis and model selection and acquire sought after skills in statistical computing, machine learning and data analysis applicable in a wealth of applications.

Along the way you’ll learn a variety of presentational approaches, enabling you to tell compelling stories with data and elevating your career opportunities in a field of employment that’s predicted to grow more than 20% this decade.

With a curriculum developed and delivered in collaboration with the School of Mathematics and the Leeds Institute for Data Analytics (LIDA), you’ll study core data science modules alongside statistics specialisms. You’ll be working with world-class academic experts at one of the world’s most respected universities (QS World University Rankings). The University of Leeds also enjoys a close partnership with the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.

4. Degree: Master of Science in Machine Learning and Data Science

School: Imperial College London

Join a booming, in-demand field with a Master’s degree in Machine Learning and Data Science from one of the top 10 universities in the world. In this programme delivered by the Department of Mathematics at Imperial College London, you will develop an in-depth understanding of the mathematical and statistical foundations underlying modern machine learning methods, alongside invaluable practical skills and guided experience in applying them to real-world problems. The curriculum is designed to propel your engineering or data science career forward, allowing you to choose the path that’s right for you, be that a role as a data scientist, a machine learning engineer, or a computational statistician.

5. Degree: Master of Science in Data Analytics Engineering

School: Northeastern University

Prepare for a career on the frontier of data analytics, with the online MS in Data Analytics Engineering (DAE) program from the College of Engineering at Northeastern University.

Whether you’re an experienced engineer or brand-new to data analytics, this program will immerse you in specializations such as data visualization, database design and data mining, giving you the skills to bridge the gap between raw data and actionable insights.

Once you’ve mastered essential data analytics techniques such as data normalization and data mapping, and become proficient in multiple programming languages such as R, SQL and Python, you’ll be ready to take on roles like predictive modeling analyst, advanced software engineer, data integration engineer and more, to help shape the evolution of data as a transformative force in modern society.