10 Best Data Science Master’s Programs & Degrees [2021 JANUARY] [UPDATED]

Best Data Science Post Graduate course tutorial class certification training online

Data Science is an evolving field that compromises multiple domains and technologies, such as Artificial Intelligence, Machine Learning, Python, Statistics, and many more. It has provided individuals a new way to grow their knowledge, skills, and business. Many individuals are moving toward achieving a professional degree or certification in Data Science for their career growth. If you’re also among those individuals, then our team of global experts has gathered a comprehensive list of some of the Best Data Science Post Graduate Courses, Classes, Tutorials, Training and Certifications programs available online . We have tried to include almost every curriculum in the list that is ideal for your knowledge. The list also compromises both free and paid courses to help you choose the perfect course according to your requirements. Check out our compilation of Best Data Science Courses.

 

10 Best Data Science Master’s Degrees & Programs [2021 JANUARY] [UPDATED]

1. Online Master’s in Data Science (Coursera)

Coursera is a professional e-learning platform that offers a Master’s degree in Data Science from top universities. Data Science degree programs on Coursera include shared help, active learning, and similar instructors that train in discipline nearby. You’ll take in approaches to get bits of knowledge from massive datasets as you comprehend cutting-edge instruments and techniques from elite faculty. This platform offers data sciences degrees from leading universities globally – University of Illinois Champaign Urbana, Imperial College of London, Higher School of Education from Russia, University of Michigan, and the University of Colorado Boulder. Moreover, students will get numerous resources to drive an engaging data science learning experience.

 

Key USPs – 

– Learn to use the foundation to build powerful equipment by manipulating massive data sets and engaging with the concepts.

– Expand your skillset from experiment design to create some complex models to be used in predictive analytics and scoring engines along with working in platforms that simulate a real environment for data science.

– The course leverages the applied projects and take benefit of programming scenario that data scientists use professional every day.

– Enroll yourself in Zoom for office hours & ad-hoc meetings; students have numerous resources to help drive an engaging data science learning experience.

 

Duration: Self-paced

Rating: 4.7 out of 5

You can Sign up Here

 

Review: The cost, the flexibility, and the material — you put all that together, I think it is a phenomenal option. – Ashish Kumar.

 

2. MicroMaster Program in Statistics and Data Science by MITx (edX)

Created by the Massachusetts Institute of Technology (MITx), this course is designed to help you excel in Statistics and Data Science. Taking up this path will assist you in learning to analyze big data, develop machine learning algorithms to extract meaningful data, and learn methodologies like deep neural networks. This is a 5 graduate-level course that helps you prepare you for job titles such as Data Scientist, Systems Analyst, Data Analyst, Business Intelligence Analyst, and Data Engineer. Completing this course will enable you to get the desired results in analyzing data, make data-driven predictions via probabilistic statistical and modeling inference.

 

Key USPs –

– Ace the foundations of data science, machine learning, and statistics that will help understand the core and advanced concepts of the field.

– Learn how to examine big data and make data-driven forecasts via statistical inference and probabilistic modeling.

– Learn how to recognize and deploy proper modeling and strategies to extricate significant data for decision making.

– Be able to create and build machine learning calculations to extricate meaningful data from apparently unstructured information.

– Learn well known unsupervised learning strategies, including clustering approaches and regulated techniques, for example, profound neural organizations.

 

Duration: 1 year 2 months / 10-14 hours per week

Rating: 4.6 out of 5

You can Sign up Here

 

 

3. Post Graduate Program in Data Science by Purdue University (Simplilearn)

Included with 300+ hours of blended learning and 25+ projects on Integrated Labs, this Bootcamp program is all you need to complete your PG in Data Science. This Post Graduate Program will give you a comprehensive introduction to critical concepts and equipment from Python, R to Machine Learning and much more. Active labs and task work rejuvenate these ideas with the trainers and instructing assistants to control your way. The program is in partnership with Purdue University and is a comprehensive Data Science program that leverages Purdue’s academic excellence in Data Science and the platform’s collaboration with IBM.

 

Key USPs – 

– Begin with the Post Graduate Program in Data Science and explore everything about the program. Launch your Data Science venture with the preliminary seminars on Statistics and Programming.

– Learn Data Science by a curriculum covering statistics, key programming dialects, Machine Learning algorithms along with a capstone venture coming full circle your learning experience.

– Get the hand-on projects that will allow you to test your concepts and give you an environment of a real-life project.

– Once you complete the course with the given projects, you will receive a joint Purdue-Simplilearn certification along with an entitled membership in the Purdue University Alumni Association.

 

Duration: 12 months (5-10 hours/week)

Rating: 4.7 out of 5

You can Sign up Here

 

Review: It was a great learning experience with Simplilearn; I had enrolled for Programming in R with trainer Simon Tavasoli, who has good knowledge on the subject and was very supportive in explaining the course in detail. Plus, the content on the platform covers the topic in detail – overall, an excellent learning experience with Simplilearn. – Madhukar Malali.

 

 

4. MicroMasters Program in Data Science by UC SanDiegoX (edX)

edX is a professional e-learning platform that provides specialized courses in Data Science programs for individuals. In this MicroMasters program, you will build up a well-rounded comprehension of the numerical and computational equipment that structure the premise of data science and how to utilize those devices to make data-driven business suggestions. This program includes 4 graduate-level courses, including Python, Probability & Statistics, Machine Learning fundamentals, and Big Data Analytics using Spark. Moreover, the classes are created by knowledgeable instructors who have immense experience in the industry for a long time.

 

Key USPs –

– Learn to load & clean real-world data, make reliable statistical inferences from noisy data and use machine learning to learn models for data.

– Get knowledge of Apache Spark to examine data that does not fit within the memory of a single computer and learn to visualize complex information.

– Know how to utilize explicit toolbox and dialects, for example, Python, Numpy, Matplotlib, pandas and SciPy, the Jupyter journal climate, and Apache Spark to dig into authentic data.

– Learn to gather, clean, and examine data utilizing renowned open-source programming that will permit you to perform large-scale data analysis and present your discoveries in an influencing & visual way.

 

Duration: 10 months / 9-11 hours per week

Rating: 4.5 out of 5

You can Sign up Here

 

5. Post Graduate Diploma in Data Science (University of London)

The University of London offers various programming courses that help individuals learn to apply technology in real-world data science issues with an in-depth understanding of emerging technologies, computation techniques, and statistical analysis. This Data Science program has a study based on your interests, such as specialize in FinTech or AI and gain skills that advance your career aspirations. You have to cover multiple modules to complete the course in MSc, PGDip, and PGCert Data Science or opt for individual modules that need to be assessed for related qualifications. The Postgraduate Diploma has four core modules, two compulsory modules, and two optional modules, and the Post Graduate Certificate has two core modules and two optional modules.

 

Key USPs – 

– Get the opportunity to be considered as one of the pro pathways in Artificial Intelligence or Financial Technology.

– Access the four core modules, two compulsory modules, four optional modules, and a final project with the MSc Module.

– Gain expertise to address abilities needed by data scientists to drive enhancements in hierarchical performance.

– Get the opportunity to make your own data analysis ventures and acquire a renowned qualification that is esteemed over the globe.

 

Duration: 1-5 years (module availability)

Rating: 4.5 out of 5

You can Sign up Here

 

 

6. Master’s Degree in Data Science by The University of Texas (edX)

Prepared by the Department of Statistics and Data Science at The University of Texas at Austin, this course is a great option to set you up for the fastest developing and most elevated requested employment prospect. Joining the program will give you an edge in the universe of data-driven models and multi-dimensional datasets, along with finding answers in the zones of bioinformatics, etymology, industry, academia, government, and nonprofits. It will take you through a journey of ideas and methods and topics of machine learning, algorithmic techniques, and optimization to undertake issues that come up with large-scale data such as memory and computational speed.

 

Key USPs – 

– It is a 30-hour program giving you 3 credit hours for each course; there are 3 core required courses and 7 extra courses needed for an aggregate of 10 courses.

– Learn the essential comprehension of the field and will likewise build up the reason for a portion of the recommended electives.

– Gain knowledge of Data Science and enhance to learn Data in Statistical hypothesis after that to build a Computer Science application.

– Get credits for completing each course in the program that can help you in learning other programs.

 

Duration: 1.5-3 years

Rating: 4.5 out of 5

You can Sign up Here

 

 

7. MSc Machine Learning and Data Science (Online) (Imperial College London)

This online Master’s course focuses on accelerating your Data Science profession, empowering you to pick an ideal career in various roles like Data Scientist, AI engineer, or computational analyst. You’ll gain knowledge of probabilistic modeling and deep learning to unstructured data processing and anomaly detection. Through conceptual clearance in mathematics and statistics, you will have the option to help your organization with analytical skills. You will get the opportunity to gain expertise in executing adaptable solutions utilizing industry-standard equipment, including PySpark. This gives you the devices to handle large and complex information. Besides, the program’s exceptional projects will allow you to manufacture a portfolio to exhibit new skills.

 

Key USPs – 

– Gain knowledge of the ethics and limitations of machine learning will enable you to apply these techniques to your work ethically.

– Once the course is completed, you’ll be able to turn data into actionable insights and contribute to strategic decision making.

– Get a seamless, flexible, and engaging learning experience with learning through a range of online methods, including lectures, tests, tutorials, and coding exercises.

– You can directly engage with departmental faculty at Imperial and learn with guided applications to real-world problems throughout the course.

 

Duration: 2 years (part-time)

Rating: 4.5 out of 5

You can Sign up Here

 

8. Data Science, Technology and Innovation (The University of Edinburgh)

Developed by experienced faculty members of the University of Edinburgh, this program is focused on improving your overall knowledge, skills, and career in the data science field. In this program, you will develop a strong foundational understanding of specific discipline and direction in technology while concentrating on the practical application of data research in the real world. During this online journey, you can enroll yourself in multiple levels, such as MSc, MSc with Medical Informatics, PG Diploma, PG Professional Development, etc. After finishing these levels, you will develop an awareness of applications and implications of data-intensive systems and enhance your career with new technological skills.

 

Key USPs –

– Get an in-depth understanding of modern data-intensive approaches while gaining the basic knowledge of developing a career in data science.

– A unique, modular, and online distance learning program that is focused on teaching you the core concepts of data science.

– Get access to multiple video lectures, live online sessions, graded work projects, assignments, quizzes, and other study material to improve your learning experience.

– A self-paced program learning platform that gives you access the flexibility to study from home with numerous benefits.

 

Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here

 

9. The Online Master of Information and Data Science (UC Berkeley)

Master of Information and Data Science (MIDS) online program prepares data science professionals to be pioneers in the field. The course offers a multidisciplinary educational plan, experienced personnel from top information-driven organizations, a progressive organization of companions, and web-based learning adaptability. The multidisciplinary MIDS educational program draws upon computer science, statistics, management, and law. Students utilize the most recent equipment and analytical strategies to work with data at scale, get bits of knowledge from perplexing and unstructured information, and solve real-world issues. The online program combines advanced technology and in-person experiences to make sure you benefit from the full I-School experience.

 

Key USPs – 

– Gain access to your weekly Zoom classes to take part in meaningful conversations and complete coding work through consistent GitHub combination in the virtual camps.

– Focus on working with perplexing, unstructured, user-generated informational collections alongside a thorough, multidisciplinary educational program drawn from computer science, social sciences, management, statistics, and law.

– Access a rational combination of the full life pattern of information from recognizing the correct inquiries to recovering, cleaning, and displaying the data and conveying results.

– Accentuation on the legitimate and moral ramifications of data privacy and security.

 

Duration: Self-paced

Rating: 4.4 out of 5

You can Sign up Here

 

10. MSc Data Science and Analytics Online (University of Hertfordshire)

The course is built on broad experience with data science examination and KTP projects. It focuses on the prime areas of machine learning, designing and creating data mining applications, and examining, understanding, and applying data analytics in extensive information and distributed computing fields. The conveyance and appraisals method is critical thinking based, consolidating real situations with an intelligent learning experience, and pointing toward building up the most vital data analytic skills and problem-solving level. You will be guided by highly regarded instructors from the long-established computer science department. Get learning materials, participate in discussions, submit your assignments online, and receive study resources such as key e-books and specialist software.

 

Key USPs – 

– Learn advanced themes including mathematics and programming of data science, machine learning, data mining, and big data analytics.

– Receive a globally perceived graduate degree from the UK’s University of Hertfordshire that will enhance your resume and profile.

– Get an adaptable web-based discovering that permits you to fit analytics around your different responsibilities, without travel and convenience costs.

– Avail multiple benefits from similar scholarly norms and quality control methodology as equal nearby course.

 

Duration: 30 hours/week

Rating: 4.4 out of 5

You can Sign up Here

 

11. Master’s in Data Science (Elmhurst University)

This is a 2-year course specially designed for those who want to learn the technical aspects of analytical methods, programming tools, and statistics. Taking up this program will help you master various skills, such as generating data from structured and unstructured data sets, predictive analysis, and translating data into actionable insights. The Elmhurst University faculty isn’t just an expert in their field but also helps individuals excel their knowledge with fieldwork, connections, and hands-on experience. The low maintenance program is offered altogether on the web, and students may finish the program in two years, or they may begin in the Fall and Spring terms and finish coursework through successive eight-week meetings.

 

Key USPs – 

– The program has a comprehensive approach, integrating analytics, and machine learning with businesses that will help any person thrive in government, business, or the nonprofit sector.

– Learn to utilize data analytics to recognize the most significant components guaranteeing an undertaking’s prosperity.

– Master data mining equipment and procedures to use enhancements in any association.

– Learn to optimize the quality and reduce risk while expanding your project management skills.

– Get comprehensive foundation knowledge to harness the data that mystify others, making genuine business esteem in any expert setting.

 

Duration: 2 years

Rating: 4.4 out of 5

You can Sign up Here

 

12. Master’s in Data Science Online (Northwestern University)

This course is ideal for professionals who can settle on data-driven choices that impel their organizations forward. You can fabricate the fundamental analysis and leadership abilities required for professions in the present data-driven world. In this course, you’ll gain basic skills for prevailing in the current data-intensive world alongside using social and database base systems and examination programming based upon open-source frameworks, for example, R, Python, and TensorFlow. The course is divided into four specializations – Analytics and Modeling, Data Engineering, Artificial Intelligence, or Analytics Management. The disciplines are designed to advance individual career growth based on their professional goals.

 

Key USPs –

– Customize your studies with a broad scope of elective courses, including risk and financial analytics, AI and deep learning, analytics frameworks analysis, and data recovery and ongoing investigation.

– Figure out how to explain analytics as a center methodology of data science and change data into significant experiences.

– Grow measurably stable and robust systematic arrangements, exhibit leadership, and figure and oversee plans to address business issues.

– Figure out how to assess imperatives on the utilization of data and evaluate data structure and information lifecycle.

 

Duration: Self-paced

Rating: 4.4 out of 5

You can Sign up Here

 

 

From the above list, you can select a course that suits your knowledge and requirements. However, each of these courses and programs contains valuable experience crucial for the data science field.