MS in Data Science and Analytics Postgraduate Programme By J. Mack Robinson College of Business |TopUniversities
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MS in Data Science and Analytics MS in Data Science and Analytics

Location

Buckhead Center, Atlanta, United States
Official website Official Website Shortlist Shortlist Shortlist
Programme Duration

12 monthsProgramme duration

Tuitionfee

49,595 USDTuition Fee/year

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

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Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

No matter your background, you can prepare for an exciting career in data science at Robinson.

Whether you are a math or computer science whiz or possess a liberal arts degree, this program will prepare you for a job in the data science, analytics, and generative AI 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 Python coding, machine learning, deep learning, and generative AI theory and practice. You also will have the option to attend boot camps covering topics like big data Spark, SAS, Amazon Web Services, and Microsoft Azure.

Data Scientist Track - Learn to build solutions with machine learning, deep learning, and generative AI methods across business domains.
  • Data collection, cleaning, and processing
  • Feature exploration and engineering
  • Machine learning, deep learning, and generative AI models
  • Model selection with different performance metrics and A/B testing
  • Model interpretability and actionable recommendations
  • Innovative solution ideation for business executives with generative AI models

Citizen Data Scientist Track - Learn to manage machine learning, deep learning, and generative AI projects to drive business solutions.
  • Machine learning, deep learning, and generative AI models
  • Performance evaluation and selection
  • Ability to bridge the gap between IT professionals and business stakeholders
  • Expertise in data science tools and terminology
  • Data visualization, evaluation, and interpretation
  • Confidence to leverage “data storytelling” to derive innovative solutions
Both tracks also include the option to pursue a concentration in either data science or legal analytics.
View a Comparison of the Two tracks

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

No matter your background, you can prepare for an exciting career in data science at Robinson.

Whether you are a math or computer science whiz or possess a liberal arts degree, this program will prepare you for a job in the data science, analytics, and generative AI 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 Python coding, machine learning, deep learning, and generative AI theory and practice. You also will have the option to attend boot camps covering topics like big data Spark, SAS, Amazon Web Services, and Microsoft Azure.

Data Scientist Track - Learn to build solutions with machine learning, deep learning, and generative AI methods across business domains.
  • Data collection, cleaning, and processing
  • Feature exploration and engineering
  • Machine learning, deep learning, and generative AI models
  • Model selection with different performance metrics and A/B testing
  • Model interpretability and actionable recommendations
  • Innovative solution ideation for business executives with generative AI models

Citizen Data Scientist Track - Learn to manage machine learning, deep learning, and generative AI projects to drive business solutions.
  • Machine learning, deep learning, and generative AI models
  • Performance evaluation and selection
  • Ability to bridge the gap between IT professionals and business stakeholders
  • Expertise in data science tools and terminology
  • Data visualization, evaluation, and interpretation
  • Confidence to leverage “data storytelling” to derive innovative solutions
Both tracks also include the option to pursue a concentration in either data science or legal analytics.
View a Comparison of the Two tracks

Admission Requirements

90+
6.5+

12 Months
Aug

Domestic (Out of State)
48,195 USD
International
49,595 USD

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