Robinson College Data Science and Analytics M.S. Overview





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Introduction to Robinson College Data Science and Analytics M.S.

Whether you are a math whiz or possess a liberal arts degree, this program will prepare you for a job in the data science field.

After reviewing your application, the admissions committee will enroll you in a pathway that makes sense based on your background. Both tracks—data scientist and citizen data scientist—are STEM-designated as well as comprehensive, rigorous, and fast-paced. Through both courses of study, you will become comfortable with machine learning, deep learning, Python, and big data, and have the option to attend boot camps covering topics like SAS, Amazon Web Services, and Microsoft Azure.

Why Study Robinson College Data Science and Analytics M.S?


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Over the course of several weeks, students collaborate with partner companies on what we call Insight Sprints. The organization comes to students with a complicated problem as well as a large set of structured and/or unstructured data. Throughout the semester, students clean the data, develop predictive models, and draw insights based on their findings.

Example Projects

  • Developed a blockchain pilot study and built a prototype with Truist
  • Forecasted procurement costs with airline parts and services company Avgroup
  • Uncovered opportunities to source more food, reduce logistics costs, and feed the hungry with the Southeast Regional Commission
  • Explored optical character recognition with Truist
  • Analyzed structured and unstructured text and voice data using machine leaning and deep learning with the BBB

Program Costs + Living Expenses : Robinson College Data Science and Analytics M.S.


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Here’s a breakdown of potential living expenses for the program:

On-campus housing:

  • Estimated cost: $9,454 per semester (approximately $18,908 per year)
  • Includes: Room, utilities, some meals
  • Additional costs: Internet, laundry,

Employement Prospects : Robinson College Data Science and Analytics M.S.


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    Most Sought-after Jobs

  • Data Scientist
  • Business Intelligence Analyst
  • Machine Learning Engineer
  • Data Analyst
  • Research Scientist
  • Quantitative Analyst

Here are some key indicators of strong employment prospects:

  • Industry demand: Data science is a rapidly growing field with a projected job growth of 25% between 2020 and 2030, much faster than the average for all occupations. This translates to significant job opportunities for graduates.
  • Curriculum: The program emphasizes practical skills and real-world applications through projects, bootcamps, and collaborations with companies like American Red Cross, SunTrust Banks, and Georgia-Pacific. This allows graduates to gain valuable experience and build a strong portfolio, making them attractive to employers.
  • Career support: Robinson College offers career services specifically designed for data science graduates. This includes resume and cover letter review, interview preparation, job fairs, and alumni networking.
  • Salary potential: Data scientists earn a competitive salary, with the average median salary exceeding $100,000 per year.

Eligibility Criteria for Robinson College Data Science and Analytics M.S.

Academic Requirements:

  • Bachelor’s degree: Applicants must hold a bachelor’s degree from an accredited institution.
  • Minimum GPA: A minimum GPA of 3.0 (on a 4.0 scale) is required.
  • Quantitative coursework: Applicants should have completed at least one semester of calculus and one semester of statistics.
  • GRE or GMAT: Both GRE and GMAT scores are accepted, but not required. If submitting, a score above the 50th percentile is recommended.

Professional Requirements:

  • Work experience: While not required, work experience in a related field is beneficial.
  • Technical skills: Some basic knowledge of programming languages like Python or R is preferred.

Documents required : Robinson College Data Science and Analytics M.S.

Application Deadlines - Robinson College Data Science and Analytics M.S.

Fall 2024

For priority consideration for a graduate assistantship, apply by round 2.

International applicants who need a student visa are encouraged to apply as early as possible, and must apply by the round 3 deadline.

RoundDeadlineDecision NotificationDeposit Deadline
1October 16, 2023December 1, 2023December 8, 2023
2January 22, 2024March 22, 2024April 11, 2024
3March 18, 2024May 10, 2024June 8, 2024
4May 6, 2024June 14, 2024July 11, 2024
5RollingRollingAugust 1, 2024

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Scholarships Available : Robinson College Data Science and Analytics M.S.

Here are some of the scholarships available to students in the Master of Science in Data Science and Analytics program:

  • Robinson College of Business Dean’s Scholarship: This scholarship is awarded to outstanding students who demonstrate academic excellence and leadership potential.
  • Robinson College of Business Graduate Merit Scholarship: This scholarship is awarded to students who demonstrate strong academic performance.
  • Georgia State University Graduate Research Assistantship: This assistantship provides financial support to students who assist faculty members with research projects.
  • Federal Direct Loans: These loans are available to students who demonstrate financial need.
  • Private Education Loans: These loans are available to students who do not qualify for federal financial aid.

Specializations & Electives Offered

The Master of Science in Data Science and Analytics program offers several specializations and electives. Students can choose to specialize in Legal Analytics, which will prepare them to use text mining, machine learning, and A.I. to detect patterns, predict outcomes, and derive insights related to regulation, compliance, litigation, and transactional law. Other electives include Text Analytics, Business Statistics for Analytics, Introduction to Programming & Predictive Analytics for Business, Scalable Data Analytics, Machine Learning and Deep Learning for Business, and Communicating with Data.

FAQs About Data Science and Analytics M.S.

  • The program offers two tracks: Data Scientist and Citizen Data Scientist.
  • The Data Scientist track is designed for students who want to pursue a career in data science.
  • The Citizen Data Scientist track is designed for students who want to use data science skills in their current careers.
  • No, the program is designed to be accessible to students with no prior math background.
  • The program offers a variety of resources to help students with math, including tutoring and workshops.

You can apply to the program online.

Graduates of the program are prepared for a variety of careers in data science, including data analyst, data scientist, and business intelligence analyst.

Application Process & timeline

We strongly advise all our clients to have a proper excel sheet or a timetables mapped out.
Once you are done with GMAT the entire application process usually take 4-6 weeks

Step 1

GMAT / GRE Score

2-3 months.

If you are not sure about what score to target then look at the average score of the schools you want and shoot above the average. 

Step 2

Profile Evaluation

 1-2 weeks.

Get your profile evaluated from a professional consultant and figure out what schools you can target based on your profile

Step 3

Application Prep

3-4 weeks at least. 

Start writing at least 1 month in advance of their 1st deadline. First application usually takes the longest.

Step 4

Interview Prep

1 week

School will notify you and give you roughly 1 week to schedule your interview. Ideally, start your prep ASAP and Do some mock interviews.

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