The highly ranked SMU Online MSDS (MS in Data Science) program is now available in India. This program is ranked #4 in the list of Online Master’s Program in Data Sciences in the US. (Source: Best colleges ranking for Best Online Master’s in Data Science Program of 2021). This is an excellent opportunity for students and working professionals in India to advance their career with Specialized Data Science skills.
- Data Science and Analytics is one of the top two emerging areas in the next 5 years in India (Source: India Skills Report 2020)
- There will be 3 million jobs in Business Analytics and Data Science by 2021-22 (Source: American Statistical Association study)
- “Every company has big data in its future, and every company will eventually be in the data business” – Thomas H. Davenport, co-founder of the International Institute of Analytics
Employers are seeking data-driven candidates with the advanced technical skills and business acumen to make strategic, informed decisions in today’s global business environment.
To meet the demand, DataScience@SMU features an interdisciplinary curriculum that draws from three SMU schools: Dedman College of Humanities and Sciences, Lyle School of Engineering and Meadows School of the Arts. Students apply the tools and methods used by data science professionals to complete project-based assignments and participate in real case studies that solve organizational challenges.
Our students cultivate the skills necessary to meet the current high demand for data science professionals in various industries. The program features corporate networking opportunities that allow students to advance their career while working toward completing their degree.
Students become equipped with the critical tools needed to make well-informed decisions and immediately apply what they learn to their career. Students can choose an optional Machine Learning Specialization or Business Analytics Specialization to gain a more in-depth competency related to their interests and become sought-after professionals in the field of data science.
“The program provides excellent breadth and depth on skills and tools required for a data scientist. So far, I’ve learned a total of 30 different programming languages and data analytics packages. The machine learning, classification, clustering and recommender system skills I’ve acquired have been outstanding.”
– Ben Fowler, DataScience@SMU student
Learning Objectives & Course Highlights
The online Master of Science in Data Science program matches the academic rigor and standards of SMU’s on-campus programs. Students learn techniques to effectively manage and analyze data and make strategic decisions. SAS, Python and R programming languages are used as a foundation to cultivate technical skills in areas that include statistical analysis, programming, data mining and network security.
The interdisciplinary curriculum is designed for students to develop and strengthen the following skills:
Students will learn experimental design and methods, including developing the statistical techniques to form relevant questions, collect and analyze appropriate data and make informed decisions.
Students will cultivate technical skills in statistical analysis, programming, data mining, machine learning, database management and data and network security. Both Python and R programming languages are used extensively throughout the program as the foundation of these technical skills’ applications.
Visualization and Communication
Students will not only develop the oral and written communication skills to successfully summarize and present results to non-experts in various industries, but they will also learn several approaches to data visualization, including visual and information design principles and creative coding.
Applied Data Science
Students will take an interdisciplinary approach to the practical application of analytic and mathematical principles, bringing together methods, concepts and practices in the data science field.
From the very beginning of the program, a heavy emphasis is placed on networking so that students have the opportunity to form close relationships with current and aspiring data science professionals. Students are required to attend at least one on-campus immersion during their time in the program. It is recommended that they attend in their first term. During the three- to four-day experience, students will engage with classmates, faculty, industry leaders and employers for collaborative, hands-on workshops, panels, lectures and informational sessions. Students will also return to campus at the end of the program to present their Capstone project presentations.
By choosing an area of specialization, students can master necessary skill sets and apply them directly to their career interests.
Visit SMU site for information on specializations
|List of modules covered by SMU in MSDS|
|Sl. No.||SMU Module name|
|1||Doing Data Science|
|3||Statistical Foundations for Data Science|
|4||Applied Statistics: Inference and Modeling|
|5||Visualization of Information|
|6||File Organization and Data Management|
|8||Quantifying the World|
|9||Data and Network Security|
|Data science courses : Any one|
|10||Visualization of Information and Creative Coding II|
|Required Capstone Project and Conference Immersion|