Explore all Data Science and Analytics

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Boot Camps

Berkeley Data Analytics Boot Camp

  • Length: 24 weeks
  • Hours per week: 25-30
  • Programming: Not Required
  • Testing: Assessment prior to start

This fast-paced, dynamic program covers the specialized skills for the booming field of data, including: Intermediate Excel, Python, JavaScript, HTML/CSS, API Interactions, SQL, Tableau, Fundamental Statistics, Machine Learning, R, Git/GitHub, and more.

You will also build a comprehensive portfolio along the way, giving you the confidence you need to tap into the industry.

Columbia Engineering Data Analytics Boot Camp

  • Length: 24 weeks
  • Hours per week: 25-30
  • Programming: Not Required
  • Testing: Assessment prior to start

Fast-paced, dynamic courses cover specialized skills for the booming field of data, including Intermediate Excel, Python, HTML/CSS, API Interactions, SQL, Tableau, Fundamental Statistics, Machine Learning, R, Git/GitHub, and more.

You’ll learn from skilled instructors and gain real-world experience by collaborating with your peers on complex projects.

Texas McCombs

The Data Analysis and Visualization Boot Camp

  • Length: 24 weeks
  • Hours per week: 25-30
  • Programming: Not Required
  • Testing: Assessment prior to start

Through an immersive virtual classroom experience, students will dive into in-demand technologies like Excel, Python, JavaScript, SQL Databases, Tableau and more. Collaborating with your classmates, and also working independently, you’ll use your new skills to build a comprehensive portfolio of projects that showcase your ability to tackle real-world data issues.

Graduate Degrees

University of Denver Ritchie School

Master’s in Data Science

  • Length: 18-24 Months
  • Hours per week: 10-20
  • Programming: Not Required
  • Testing: GRE (Waivers Available)

DataScience@Denver, the online MS in Data Science program from University of Denver’s Daniel Felix Ritchie School of Engineering & Computer Science, prepares students at any stage of their career to use data to help their organizations make more informed strategic decisions.

Led by a faculty of top researchers, the program gives students the technical tools they need to become part of the next generation of data scientists.

Southern Methodist University

Online Master of Science in Data Science

  • Length: In as few as 20 Months
  • Hours per week: 10-20
  • Programming: Required
  • Testing: Not Required

DataScience@SMU is an online Master of Science in Data Science program designed for current and aspiring data science professionals looking to gain the advanced skills needed to manage, analyze, mine and understand complex data to make strategic decisions in their organizations.

Through a combination of interactive coursework, collaborative group activities and online face-to-face classes, students gain the technical, analytical and communication skills needed to make meaningful data-driven decisions across various industries.

Syracuse University’s School of Information Studies

MS in Applied Data Science Online

  • Length: In as few as 18 months
  • Hours per week: 10-20
  • Programming: Not Required
  • Testing: Not Required

The MS in Applied Data Science from the Syracuse University School of Information Studies—the nation’s original iSchool⁴—explores leading edge coding and technical analysis techniques professionals need to derive insights in modern business settings.

In addition to developing data mining and machine learning competencies, you will advance your proficiency in languages such as Python and R, allowing you to expertly process and synthesize large unstructured data sets in the field.

UC Berkeley School of Information

Master of Information and Data Science

  • Length: In as few as 18 months
  • Hours per week: 10-20
  • Programming: Required (Bridge Courses Available)
  • Testing: Not Required

The Master of Information and Data Science (MIDS) program delivered online from the UC Berkeley School of Information (I School) prepares data science professionals to be leaders in the field. By blending a multidisciplinary curriculum, experienced faculty from top data-driven companies, an accomplished network of peers, and the flexibility of online learning, the WASC-accredited datascience@berkeley program brings UC Berkeley to students, wherever they are.

The multidisciplinary MIDS curriculum draws upon computer science, social sciences, statistics, management, and law. Students use the latest tools and analytical methods to work with data at scale, derive insights from complex and unstructured data, and solve real-world problems.

Martin J. Whitman School of Management at Syracuse University

M.S. in Business Analytics

  • Length: In as few as 18 months
  • Hours per week: 10-20
  • Programming: Not Required
  • Testing: GMAT (Waivers Available)

The online M.S. in Business Analytics program takes an action-oriented approach to preparing students to become skilled data analysts. In this 36-credit-curriculum, students develop an interdisciplinary understanding of the applications of analytics with the flexibility to take courses from the Whitman School of Management, the School of Information Studies and the College of Engineering and Computer Science.

During the program, students will complete core courses, analytics application courses and analytics depth core courses across the three Syracuse schools listed above. The blending of these course types provides students with a holistic skill set and allows them to focus on a wide range of topics including accounting and financial analytics, data analysis, data science, principles of management science and information visualization.

Pepperdine Graziadio Business School

M.S. in Business Analytics

  • Length: In as few as 12 months
  • Hours per week: 10-20
  • Programming: Not Required
  • Testing: Not Required

The online MS in Business Analytics program prepares you to use data to anticipate customer needs and discover patterns that solve business challenges.

You will take core courses in two main areas: decision sciences and information systems. In each course, you will gain valuable insight by applying your learning to real-world business scenarios.

In addition to teaching you technical and analytical skills, the program provides leadership and management training so that you can effectively communicate your findings in a compelling way.

The University of Dayton School of Business Administration

Master’s in Business Analytics

  • Length: In as few as 12 months
  • Hours per week: 10-20
  • Programming: Not Required
  • Testing: Not Required

The University of Dayton School of Business Administration offers an online Master of Business Analytics program that allows aspiring analytics professionals to pursue meaningful careers in this growing field. The program welcomes students from all undergraduate majors who have an aptitude for math, logic and business technology. The curriculum provides an end-to-end understanding of the role of an analytics professional, from gathering and cleaning data, to analyzing results, to presenting findings effectively. As an online student, you will be integrated into our service-oriented community and prepared to use your knowledge to benefit those around you.

American University’s Kogod School of Business

M.S. in Analytics

  • Length: In as few as 12 months
  • Hours per week: 10-20
  • Programming: Not Required
  • Testing: Not Required

American University’s Kogod School of Business offers two online analytics programs. Our programs focus on collaboration over competition and prepare students to advance their analytics careers and become well-rounded leaders.

In the online Master of Science in Analytics program, professionals gain expertise in fields such as data modeling and quantitative analysis that can be applied to a wide range of business challenges related to fiscal performance and management.

The online Master of Science in Marketing Analytics program prepares professionals in any industry to apply analytic skills when managing marketing campaigns, analyzing consumer data, or developing brand strategy.

Harvard Business School

Harvard Business Analytics Program

  • Length: In as few as 9 months
  • Hours per week: 10-20
  • Programming: Not Required
  • Testing: Not Required

The Harvard Business Analytics Program offers a rigorous curriculum that will help you master emerging analytics practices and uncover valuable business insights with data.

As a student in our online classroom, you will learn from a group of diverse peers whose broad experiences offer new perspectives and outlooks. Our students are leaders in consulting, academia, real estate, and other industries,

The cross-disciplinary curriculum offers a combination of next-generation analytics technologies and core management skills that will enable you to influence strategy at the executive level of your organization. You will also strengthen your professional network by connecting with world-renowned faculty and your peers at immersions held on the Harvard Business School campus.

Short Courses

The London School of Economics and Political Science

Data Analysis for Management

  • Length: 8 Weeks
  • Hours per week: 7-10
  • Programming: Not Required
  • Testing: Not Required

Gain theoretical knowledge and practical skills to understand, interpret, and communicate data relevant to your role and organisation. Learn To Use Data Science for Insights

MIT Sloan School of Management

Digital Marketing Analytics

  • Length: 6 Weeks
  • Hours per week: 6-8
  • Programming: Not Required
  • Testing: Not Required

Gain a deeper understanding of analytics-based tools and techniques. Develop Insightful Decision-making Skills on this Digital Marketing Course.

Rice University

Data Analysis and Visualization

  • Length: 8 Weeks
  • Hours per week: 7–10
  • Programming: Not Required
  • Testing: Not Required

Explore Data Analysis Tools, Build a Data Analysis Toolkit and Learn to Use SQL

UC Berkeley School of Information

Data Science Essentials

  • Length: 6 Weeks
  • Hours per week: 8–10
  • Programming: Not Required
  • Testing: Not Required

Study the Foundational Principles of Data Science. Implement practical data science strategies to support your company’s long-term objectives. No coding experience needed.