Best online masters programs in Data Science

The data science online masters program offered by Harvard University offers a flexible curriculum with both online and on-campus courses, emphasizing practical skills to tackle real-world data challenges. Core topics include machine learning, data processing, big data systems, and data engineering. Elective courses cover areas like artificial intelligence, wearable devices, data structures, and cloud computing. Students can study part-time, tailor their courses to their schedule and career goals, and engage in collaborative learning through group projects and discussions, culminating in a capstone project.

The benefits of getting an online Data Science master’s degree program are:

• Graduates will have a deep understanding of data science methods and be well-equipped to analyze and manage large datasets.
• The program emphasizes critical thinking, ethical considerations, and effective communication, preparing students to make data-driven decisions and communicate their findings clearly.
• Stackable certificates allow for specialization and career flexibility.
• The team-based capstone project offers practical experience and the opportunity to work on real-world problems.
• Entrepreneurial and research opportunities enhance students' career prospects and contribute to their skill development.
• Membership in the Harvard Alumni Association provides a valuable network for future career opportunities.

This comprehensive online program comprises 11 out of a total of 12 carefully curated courses, each designed to equip students with invaluable knowledge and skills in the dynamic field of data science. This meticulously structured curriculum empowers learners to embark on a transformative educational journey, all while balancing academic excellence with accessibility. One of the remarkable features of this program is its flexibility. With a per-course cost of $3,220, it provides students with an affordable and manageable way to pursue their data science aspirations.

The capstone project, the culmination of the program, allows students to apply their acquired knowledge and skills to real-world challenges. It is a testament to their growth and development throughout the program and a reflection of their ability to tackle complex data-rich problems. With the support of their dedicated team, students kickstart their capstone project with the confidence and expertise gained through their educational journey.

The University of Chicago's Master's in Applied Data Science program offers both in-person and online options to accommodate diverse student needs. The in-person program, eligible for OPT STEM, is ideal for early career professionals and can be completed full-time in 12-18 months, with part-time options available. The online program provides flexibility with in-person Immersion Weekends twice a year, fostering networking opportunities. The curriculum consists of 12 courses, including core, elective, and Capstone Project courses, ensuring relevance in the dynamic data science field. Students can choose part- or full-time study schedules to fit their lifestyles and career goals. The program emphasizes interactive learning through synchronous online classes and leverages advanced technology for collaboration.

The benefits of this online Data Science program are:

• Combines online study with in-person immersion weekends
• Weekly synchronous classes for live interaction
• Comprehensive curriculum includes core, elective, and Capstone Project courses
• Curriculum reviewed annually to stay current in data science
• Part-time and full-time study options available
• The in-person program is OPT STEM-eligible

At University of Pennsylvania, you can take your career in data science and engineering to greater heights with their Master of Science in Engineering in Data Science (MSE-DS) Online degree. Not only will you learn from prestigious Ivy League faculty who are renowned researchers as well as educators, students will have access to collaborative opportunities like real time interaction with professors and group projects with classmates from around world. UPenn provides an environment perfect for connecting various industries and diverse perspectives that are evolving data science.

You have the flexibility to commence this program either in the fall or spring, and you can choose between full-time or part-time attendance. Lectures are pre-recorded, eliminating the need for mandatory synchronous sessions. Additionally, you have the option to extend your studies into the summer or take a break during that period. The completion timeline is also adaptable: you can achieve graduation in as little as 16 months or extend your program up to five years. Typically, most working students complete their coursework within 20 to 30 months. To earn your MSE-DS Online degree, you will successfully complete ten (10) course units, comprising four core course units, four technical elective units, and two open elective units. All courses are offered entirely online, and there are no obligatory real-time sessions.

Some of the benefits of this program are:

• Taught by Ivy League faculty renowned in research and education.
• Access to real-time interaction with professors and global group projects.
• Program intake in fall or spring, with options for full-time or part-time study.
• Lectures are prerecorded, and no mandatory synchronous sessions.
• Flexible completion time, ranging from 16 months to five years.
• Typical completion for working students is 20-30 months.
• All courses are fully online, and there are no required real-time sessions.

A master's in data science through the online program at Johns Hopkins Engineering for Professionals can help you become a leader in today's digital world. Gain the skills needed to qualify as an expert data scientist; courses focus on computer science, applied mathematics, and more. After completing your studies, you'll be able to launch yourself into a variety of specialized roles that leverage data pipeline and storage plus statistical analysis. The demand for these types of skilled professionals is ever-growing - make sure you have the credentials to join their ranks.

Gaining an online master's degree in data science is a great way to be prepared for specialized roles across many disciplines such as data pipeline, storage and statistical analysis. With busy professionals in mind, this course provides an array of modern online classes that will help extend your knowledge and pave way for new career paths in areas like Machine Learning, Data Visualization, Game Theory, and Large-Scale Data Systems. Led by experienced engineers and data scientists, you'll be trained through scenarios that reflect real-world situations you may already face or come across as part of your job.

The benefits of this online masters in Data Science from JHU are:

• Students gain practical skills for a career in data science.
• Students can balance theory and practice in applied mathematics and computer science.
• Students will able to analyze and manage large-scale data sets.
• Discover insights in complex data through information manipulation.
• Create automated models to solve real-world problems.
• Customize your degree with courses of interest.
• Develop confidence as a data scientist and leader.
• Explore various data science degree options.

Northwestern's online Master of Science in Data Science (MSDS) program helps to equip its participants with analysis and leadership skills essential for success in the data-driven world. MSDS pupils gain valuable knowledge on how to make use of relational, document, and graph database systems along with open-source analytics software such as R, Python, Go, TensorFlow and Keras. With traditional statistics and machine learning methods being taught too, participants feel empowered knowing they can generate accurate predictions with confidence.

The MSDS program at University offers five unique specializations for those seeking to pursue a master's degree: Analytics and Modeling, Analytics Management, Artificial Intelligence, Data Engineering, or Technology Entrepreneurship. Within each specialization, learners can customize their studies with electives such as financial machine learning, analytics systems engineering, deep learning and business process analytics. As part of the curriculum, three languages are taught: Python, R and Go - so that graduates of the program could opt to specialize in one language or have an understanding across all three.

Students may pursue a data science master's degree through either part-time, nonresidential study or an accelerated full-time program. With various specializations available, you can customize your curriculum to meet your ambitions. Renowned faculty are at hand to provide instruction and mentorship throughout each course of study. Depending on your preference, you can opt for 100% online classes in a part-time program or take advantage of an accelerated option that fuses online and on-campus sessions over one year.

For those aspiring for a career in data science, the Master of Science in Data Science degree provides the essential skills needed after completing 12 courses. This includes notably core classes, specialized training, a leadership or project management course, and also culminating with a capstone project or thesis. Students can pick between the part-time and accelerated options as their curriculum may differ marginally from one another.

Rice University offers a non-thesis MDS degree that requires students to commit to 31-35 credit hours of coursework. Those studying for this master's degree must fulfill certain obligations, including:

• Depending on the course choices, the degree requirements must be satisfied with a minimum of 10–13 courses (31–35 credits).
• A minimum of 31 graduate semester credits, or coursework with a 500 level or higher, are required for graduation. 
• The student must enroll in a minimum of 24 graduate semester credits at Rice University.
• Standard or traditional courses must be taken for a minimum of 24 graduate semester credits.
• A minimum of one semester of part-time graduate coursework at Rice University either the autumn or spring semesters.
• A maximum of two courses with transfer credit, totaling six graduate semester credits.
• A cumulative GPA of 2.67 or higher across the board for all Rice coursework.
• A minimum program GPA of 2.67 or higher in all Rice coursework that satisfies requirements for the non-thesis master’s degree.
• All Rice courses must have a minimum program GPA of 2.67 or higher in order to satisfy the requirements for the non-thesis master's degree.

Having completed the MDS program, graduates will be equipped with the knowledge and skills to:

• As a graduate student, gain an advanced comprehension of the numerical and statistical principles of Data Science.
• Study in detail to achieve expertise in either one of the principal methods or one application aspect of Data Science.
• Start by applying Data Science techniques to complex, real-world issues with raw and unclean data and finish by providing comprehensible information to non-experts which can be used for actionable purposes.

The online Master of Data Science program is tailored for non-traditional graduate students seeking a balance between their educational pursuits and the demands of work and family responsibilities. In this program, you'll have the flexibility to uphold your work-life commitments while pursuing your degree part-time in an exceptional, adaptable, and engaging learning environment. Part-time students typically complete the flexible online Master of Data Science program in a span of 2 to 3.5 years. Alternatively, for full-time students with strong prerequisites, the program can be completed in a more accelerated timeframe of 18 to 24 months.

From UC Berkeley's School of Information (I School) comes a highly innovative Master of Information and Data Science program - delivered 100% online. This WASC-accredited course provides students with an unrivaled level of flexibility, offering them a multidisciplinary curriculum that encompasses computer science, social sciences, statistics, management, and law. In just 12 months you can complete this 27-unit program with experienced faculty from leading data-driven companies guiding your journey as you work with real-world data to solve complex problems and gain valuable insights.

The program is offered in 3 paths: accelerated, standard, or decelerated.

• The accelerated path gives students the opportunity to take three courses per semester to complete the program in as few as 12 months.
• The standard path is designed for working professionals and can be completed in 20 months, with two courses per semester.
• The decelerated path allows students to drop down to one course per semester after the first term and complete the program in no more than 32 months.

A wide range of courses in the MIDS program gives students a thorough grasp of how data science may be utilized to support decision-making in their businesses. Students will finish programming-focused courses, such as the ones shown below, along with other courses that emphasize the ethical implications of data science and the best ways to present findings.

The University of Michigan School of Information offers a fully online master's program in applied data science, emphasizing the practical application of data science at the intersection of technology and human understanding. The program covers data collection, computation, analytics, and presentation. Students gain hands-on skills through a multidisciplinary approach, with coursework and projects focused on solving real-world problems using data science techniques.

Students in the University of Michigan's Master of Applied Data Science (MADS) program cover vital aspects of applied data science, emphasizing a holistic approach. This program blends computation, theory, and real-world application to equip students for data science careers across various industries.

The degree program requires 34 credit units for completion, with Python as the primary programming language. Each course lasts approximately four weeks and is worth 1 credit unit. Students will engage in capstone projects throughout the program, offering practical, hands-on experience with real-world data and scenarios. These projects can be compiled into a portfolio for sharing with others.

The program is designed for both part-time and full-time students, including those who work while studying. Full-time students can finish in 12 months, while part-time students have the option to complete it in either 24 or 36 months.

The benefits of the online Master of Applied Data Science program are:

• The program offers flexibility, making it suitable for students with diverse backgrounds who may be working professionals or career changers.
• The program emphasizes practical and real-world applications of data science, ensuring that students gain hands-on experience in using data science techniques in their jobs or future careers.
• The program welcomes applicants from a broad range of backgrounds and experiences, fostering a diverse and inclusive learning environment.
• Students can expect to acquire both broad and deep skills in data science, which are relevant to a wide range of existing and emerging careers in the field.
• The program seeks applicants who exhibit innovation and creative problem-solving abilities.
• The program values traits such as leadership, persistence, and initiative, which are important not only for success in data science but also for career advancement.

Offered in both online and on-campus formats, an MSc in Computer Science (Data Science) provides students with all of their essential computer science knowledge plus advanced technical abilities for collecting, saving, accessing, exploring and depicting significant quantities of nonhomogeneous real-time information. By learning these core elements, graduates become prepared to enter a plethora of industries such as energy, environment, health care, media production, medicine or transportation.

To become eligible for the OPT STEM extension, 32 units of coursework must be completed as part of the program.

The MSDS program from University of Virginia is the perfect choice for those wishing to be a pioneer in the data science field. Those enrolled are taught by expert faculty who have first-hand knowledge from working in industry, with opportunities to participate in team capstone projects sponsored by corporate and government partners. With the teachings of this programme, not only will informed decisions be made regarding ethical and responsible usage of data for society's benefit, but so too will the technical skills needed to solve even complex problems using data be mastered. In this way, those graduating become leaders in their chosen field.

Enrolling in an Online M.S. in Data Science (MSDS) offers students a forward-thinking opportunity to study topics such as natural-language processing, machine learning, text analytics, and deep learning. This innovative curriculum is built around excellence in data science with an emphasis on interdisciplinary exploration and practical, hands-on practice. Over just five semesters of instruction, students can gain a comprehensive understanding of data analysis principles which prepares them for solving real world problems and providing leadership within their field.

Offered by experienced professors and long-proven to be effective, enrolling in an online MSDS program is both a rigorous and flexible experience. With 32 credit hours over five terms, core courses take up much of this time while electives are available for semesters 4 and 5. To conclude their studies, all students will also complete a capstone project during their last two semesters. Designed to hone analytical skills in real-world scenarios, these projects are conducted by teams of 2-4 people as well as a faculty advisor. As part of term 4, each team selects their project before proceeding to work on it throughout terms 5 and 6.