Master of Science in Analytics

1 Year On Campus Bachelors Program

Georgia Institute of Technology

Program Overview

Georgia Tech's Master of Science in Analytics (MSA) is an interdisciplinary program combining business, computing, statistics, and operations research to develop advanced analytical and data science expertise. The program is ideal for students seeking careers in business analytics, data science, artificial intelligence, machine learning, and quantitative decision-making.

Curriculum Structure

Year 1

The 36-credit, full-time program is designed to be completed over three semesters (Fall, Spring, and Summer). Students begin with core subjects such as Computing for Data Analysis (CSE 6040), Introduction to Analytics Modeling (ISYE 6501), and Introduction to Business for Analytics (MGT 8803). They advance to Data and Visual Analytics (CSE 6242) and Data Analytics in Business (MGT 6203), developing expertise in statistical modelling, programming, data visualization, and business problem-solving.

Students select electives across three specialized tracks: Analytical Tools, Business Analytics, and Computational Data Analytics. The program concludes with the Applied Analytics Practicum (CSE/ISYE/MGT 6748), where students work with companies or organizations on real-world analytics projects.

Focus Areas

Business Analytics, Computational Data Analytics, Machine Learning, Artificial Intelligence, Statistical Modelling, Data Visualization, Predictive Analytics, Operations Research, Data Mining, Business Intelligence, Deep Learning, Data Engineering.

Learning Outcomes

Develop advanced programming and analytical skills, acquire and manage large datasets, build statistical and machine learning models, apply optimization techniques, interpret complex data, solve business problems, communicate analytical insights, and execute data-driven projects.

Professional Alignment (Accreditation)

STEM Designation: The program is officially STEM-designated (CIP code 52.1399), allowing eligible international F-1 graduates to apply for the 24-month STEM OPT extension.
Interdisciplinary Education: The degree is delivered collaboratively through Georgia Tech's Colleges of Computing, Business, and Engineering.

Reputation (Employability & Rankings)

U.S. News & World Report: The program's official website highlights rankings of #1 in Data Analytics, #3 in Data Science, and #3 in Business Analytics. The ranking years are not specified on the reviewed homepage.
Employment Rate: The program reports annual placement rates generally between 95% and 100%.
Graduate Opportunities: The university states that every graduate has historically received one or more job offers.
Industry Connections: Students benefit from dedicated MSA Career Services, program-specific job fairs, employer presentations, networking opportunities, and career workshops.

Experiential Learning (Research, Projects, Internships etc.)

At Georgia Institute of Technology, the Master of Science in Analytics program is designed to provide students with hands-on experience that translates theoretical knowledge into practical skills. The program emphasizes experiential learning through various opportunities, including collaborative projects, internships, and access to cutting-edge facilities and tools. Students engage in real-world analytics challenges, allowing them to apply their learning in meaningful ways.

Here are some key aspects of the experiential learning opportunities available in the Master of Science in Analytics program:

- Capstone Projects: Students work in teams on real-world analytics projects, often in partnership with industry clients, allowing them to tackle complex problems and deliver actionable insights.

- Internships: The program encourages internships, providing students with the chance to gain valuable work experience and network with professionals in the field.

- Data Science and Analytics Tools: Students gain proficiency in industry-standard software such as R, Python, SQL, Tableau, and SAS, equipping them with the technical skills needed for success in analytics roles.

- Collaborative Learning: The program fosters teamwork through group projects, where students collaborate to solve analytics challenges, enhancing their communication and problem-solving skills.

- Research Facilities: Access to state-of-the-art labs and research centers, such as the Institute for Data Engineering and Science (IDEaS), allows students to engage in innovative research and development.

- Workshops and Seminars: Regular workshops and guest lectures from industry experts provide insights into current trends and practices in analytics.

- Library Resources: The Georgia Tech Library offers extensive resources, including databases and journals specific to analytics and data science, supporting students' research and learning.

- Networking Opportunities: The program hosts events and meetups that connect students with alumni and industry leaders, fostering professional relationships that can lead to job opportunities.

Progression & Future Opportunities

The Master of Science Analytics program at Georgia Institute of Technology equips graduates with the skills and knowledge to excel in a rapidly evolving data-driven landscape. Alumni often find themselves in high-demand roles such as Data Scientist, Business Intelligence Analyst, and Analytics Consultant. With a strong foundation in analytics, graduates are well-prepared to tackle complex business challenges and drive strategic decision-making.

Here’s what you can expect in terms of progression and future opportunities:

- University Services: Georgia Tech offers robust career services, including personalized career coaching, resume workshops, and networking events with industry leaders. The Career Development Center also hosts job fairs specifically for analytics students, connecting you directly with potential employers.

- Employment Stats and Salary Figures: The program boasts an impressive employment rate, with over 90% of graduates securing jobs within six months of graduation. The average starting salary for MS Analytics graduates is around $85,000, with many entering roles that offer significant growth potential.

- University–Industry Partnerships: Georgia Tech has established partnerships with leading companies such as Delta Air Lines, Coca-Cola, and AT&T, providing students with opportunities for internships, collaborative projects, and real-world experience that enhances their learning.

- Long-term Accreditation Value: The MS Analytics program is accredited by the Southern Association of Colleges and Schools (SACS), ensuring that your degree holds value and recognition in the job market for years to come.

- Graduation Outcomes: Graduates of the program have gone on to work at top firms in various industries, including finance, healthcare, and technology, demonstrating the versatility and demand for analytics professionals.

Further Academic Progression: After completing the Master of Science in Analytics program, you may choose to further your studies by pursuing a Ph.D. in Analytics or a related field, which can open doors to academic positions or advanced research roles. Additionally, you could consider obtaining professional certifications in specialized areas such as data science or machine learning, enhancing your expertise and marketability in the analytics field.