Data Science, Master of Science (M.S.)

With a master of science degree in data science, you join a promising field where your skills as a data scientist will be sought after to analyze data, develop predictive models, and drive informed decision making. 

A High-Demand Field With Growth Opportunities

• Data science has emerged as a highly versatile and in-demand career field that spans across numerous industries. As organizations across sectors recognize the value of data-driven insights, data scientists play a pivotal role in extracting actionable information from complex datasets. The rapid advancement of technology, coupled with the exponential growth of data, ensures that data science will remain a critical field in the foreseeable future.
• Our M.S. in Data Science prepares you for related careers that involve the application of computational and statistical techniques that are becoming more vital to industry and research. This is accomplished through coursework in topics such as database management systems, data mining and machine learning algorithms, data visualization, statistics, text analytics, and big data. Graduates of the Data Science program will obtain a variety of skills required to analyze large datasets and to develop modeling solutions to support decision making. 

Program Educational Objectives
The Program Educational Objectives for the M.S. degree in Data Science are that within a few years after graduation, graduates are expected to:

• Develop and use data science applications in industry or research.
• Develop data science applications for use in a variety of domains.
• Continue learning and professional development to remain current in data science and computing topics.
• Contribute to the field of data science and society as an entrepreneur, innovator, or researcher.

Student Outcomes
Graduates of the program will have the ability to:

• Analyze a complex problem and apply principles of computing and other relevant disciplines to elaborate solutions to it.
• Design, implement, and evaluate a computing-based solution to meet a given set of requirements in the context of the program’s discipline.
• Communicate effectively in a variety of professional contexts.
• Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
• Function effectively as a member and leader of a team engaged in activities appropriate to the program’s discipline.

Admission Requirements
All applicants must possess a bachelor’s degree from an accredited institution or the international equivalent before enrollment at the graduate level. In addition to the application form and non-refundable application fee, candidates should submit the following:                                                      

• Statement of professional goals and resume, which can be uploaded as part of the application for admission.                                                   
• Official transcripts from all undergraduate, graduate, and professional schools attended. 
• One letter of recommendation obtained from a professional or academic reference. 
• Previous coursework in calculus/statistics or equivalent mathematics courses. 
• Official TOEFL, IELTS, PTE or Duolingo scores are required for applicants whose native language is not English.                                                      
• Students with international credits must submit a course-by-course foreign credit evaluation with GPA calculation from a NACES member.

Specialize in Growing Areas of Data Science

• You can choose from specialties in some of the fastest growing sectors of data science such as big data analytics, cyber information and security, healthcare analytics, and marketing analytics. As a STEM-designated program, international students are eligible for the STEM OPT extension.

Potential Careers by Specialization
Big Data Analytics

• Big Data Engineer
• Business Intelligence Analyst
• Data Analyst
• Data Architect
• Data Mining Specialist
• Data Scientist
• Machine Learning Engineer

Cyber Information and Security

• Malware Analyst
• Security Analyst
• Security Architect
• Security Data Scientist
• Security Engineer
• Security Operations Center (SOC) Analyst
• Threat Intelligence Analyst

Healthcare Analytics

• Healthcare Analytics Manager
• Healthcare Business     Intelligence Analyst
• Healthcare Data Analyst
• Healthcare Data Scientist
• Healthcare Informatics Specialist
• Healthcare Predictive Modeler

Marketing Analytics

• Customer Insights Analyst
• Digital Marketing Analyst
• Marketing Analyst
• Marketing Data Strategist
• Marketing Operations Manager
• Marketing Research Analyst
• Marketing Strategy Consultant

Why St. John’s University?

Real-word, hands-on experience is the best way to prepare you for a career in data science. Pursuing a master’s degree in data science from St. John’s University provides substantial value to your career pursuits and preparation—particularly in terms of the hands-on and in-person learning opportunities it offers.

• Gain invaluable experience to engage in practical projects
• Collaborate with faculty members who are experts in their fields
• Develop a proficiency in tools and techniques essential for data analysis
• Open doors to internships, research collaborations, and future career prospects
• AWS (Amazon Web Services) Academy Member Institution
• Students have obtained AWS Cloud Foundation certification through the distributed big data courses.
• Databricks University Alliance Member