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QS Rank:

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114

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Georgia Institute of Technology

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Georgia

United States

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Program Rank

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1

Georgia Tech’s Master of Science in Analytics is a premier and interdisciplinary program designed to equip students with the essential skills needed to excel in the ever-evolving field of data analytics. This innovative program is offered through the collaboration of Georgia Tech’s esteemed Colleges of Computing, Business, and Engineering, providing a unique blend of technical and managerial expertise. The curriculum is meticulously crafted to cover a wide array of analytical methods, tools, and applications, ensuring that graduates are well-prepared to tackle complex business challenges using data-driven decision-making.

The program spans 12 months of immersive learning, where students will engage with real-world data sets and case studies to develop practical skills in areas such as data mining, machine learning, and statistical analysis. The curriculum is thoughtfully designed to include core courses focusing on data analytics fundamentals, as well as specialized electives that allow students to tailor their education to their specific interests and career goals. Key courses include Data Mining, Statistical Methods for Analytics, and Machine Learning, among others, providing a comprehensive foundation in the principles and practices of analytics.

Another distinctive feature of Georgia Tech’s Master of Science in Analytics program is the emphasis on hands-on experience. Students have numerous opportunities to engage in collaborative projects, internships, and research initiatives that enhance their learning and provide valuable insights into the analytics industry. With access to state-of-the-art technologies and resources, students can work on practical assignments that apply theoretical knowledge to solve real-world problems, thereby solidifying their analytical capabilities.

Moreover, the faculty at Georgia Tech are industry leaders and renowned scholars, bringing a wealth of knowledge and experience to the classroom. They utilize a dynamic teaching methodology that combines traditional lectures with interactive learning experiences, fostering an environment that encourages student participation and knowledge sharing. Faculty members are actively involved in cutting-edge research and industry partnerships, ensuring that the curriculum remains relevant and aligned with current industry trends.

Research opportunities abound within the program, allowing students to delve deeper into specific areas of interest. The program provides access to various labs and centers dedicated to analytics research, where students can collaborate on projects that push the boundaries of what is possible with data. Furthermore, the strong industry connections fostered by Georgia Tech open doors for internships and job placements, giving students a competitive edge in the job market.

As graduates of the Master of Science in Analytics program, students are well-equipped for a wide range of career pathways. Whether aspiring to become data scientists, machine learning engineers, or analytics managers, alumni find themselves in high-demand roles across various sectors, including technology, finance, healthcare, and consulting. The program boasts an impressive graduation rate of 93%, reflecting the commitment to student success, and many graduates report median base salaries of $110,000, showcasing the lucrative opportunities available in the analytics field.

Georgia Tech alumni have consistently achieved remarkable success in their respective careers. Testimonials from graduates highlight the transformative impact of the program, emphasizing not only the technical skills acquired but also the valuable networking opportunities fostered throughout their studies. Alumni often cite the collaborative environment and rigorous curriculum as key factors that prepared them for their successful careers in analytics and related fields.

Unique features of the Georgia Tech Master of Science in Analytics program include its interdisciplinary approach, an emphasis on experiential learning, and robust industry partnerships. Graduates leave the program not only with a strong academic foundation but also with practical experience that is highly sought after by employers. The blend of technical skills, analytical thinking, and business acumen prepares students to face complex challenges and drive data-driven insights in their organizations.

Why Study Master of Science in Analytics at Georgia Tech

  • Interdisciplinary Curriculum: Integrates knowledge from Computing, Business, and Engineering, providing a holistic approach to analytics.
  • Hands-on Learning: Engage in real-world projects, internships, and research initiatives to gain practical experience.
  • Expert Faculty: Learn from industry leaders and scholars who are actively involved in analytics research and industry partnerships.
  • Career-Focused Outcomes: Graduates secure high-paying roles as data scientists, machine learning engineers, and analytics managers with a median salary of $110,000.
  • Strong Alumni Network: Connect with a vibrant community of alumni who provide ongoing support and networking opportunities in the analytics field.
  • Research Opportunities: Access to cutting-edge labs and centers dedicated to analytics research, allowing students to explore their specific interests.

If you are ready to take your career to the next level in the exciting field of analytics, the Georgia Tech Master of Science in Analytics program provides the comprehensive education and resources you need to succeed. With an application deadline of January 1st, 2025, prospective students are encouraged to prepare their materials, including a statement of purpose, resume, and letters of recommendation, to join this prestigious program.

In summary, Georgia Tech’s Master of Science in Analytics stands out as a leading program that combines rigorous academic training with practical application and industry connections. This program is perfect for anyone looking to make a significant impact in the world of data analytics.

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Total Tuition Fees

$58,519

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Duration

12 Months

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Median Salary

$1,10,000

Ranking

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#44

US World and News Report

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#38

The World University Rankings

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#114

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

100

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Average Age

27

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Average Work Experience

3 Years

Diversity

Others:

1%

Two or more races:

3%

White:

49%

Hispanic or Latino:

10%

Black or African American:

10%

Asian:

27%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

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Graduation Rate

93%

Prospective Job Roles

Data scientist

Machine learning engineer

Statistician

Data Architect

Chief Technology Officer (CTO)

Chief Data Officer

Project Manager

Market Research Analyst

Analytics Manager

Application Engineer

Data analyst

Digital Analytics Manager

Sports Analytics

Web Analytics Specialist

Text Analytics Engineer

Analytics Consultant

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    100

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  • IELTS

    7.5

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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Application Fee: 85

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    Transcript

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    Statement of Purpose

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    GRE

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    Passport

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    Resume

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    IELTS

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    Academic LOR

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    Class 12 Marksheets

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    Professional LOR

Application Deadlines

Priority 1Standard Deadline
FallJan 1, 2025Mar 1, 2025
SpringN/AJun 15, 2025

Fees and Funding

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Tuition Fees

$58,519 / year

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Overall Cost

$72,000 / year

Funding Options

Department Funding

FAQs

  • Yes, in most cases. Georgia Tech requires that all applicants demonstrate proof of English language proficiency at the time of application. A list of the ways that this requirement can be satisfied is available at https://grad.gatech.edu/english-proficiency
  • GRE test scores can be ordered at www.ets.org. Our school report code is 5248. No specific department designation is required. For complete information regarding the GMAT, go to www.mba.com/exams/gmat.
  • What are the prerequisites for Georgia Tech data analytics? All applicants are expected to have basic background in mathematics (at least one college-level course or equivalent knowledge in calculus, probability/statistics, and some linear algebra) and computing (at least one college-level course or equivalent knowledge in computer programming using a high-level language like C ...
  • The one-year Master's of Science in Analytics is an interdisciplinary degree program that leverages the strengths of Georgia Tech in statistics, operations research, computing, and business.
  • For the fourth year in a row, U.S. News & World Report ranked Georgia Tech's Scheller College of Business graduate Business Analytics program #1 for Business Analytics (public universities) and #3 for Business Analytics (all universities) in the U.S.

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