MS in Applied Data Science
Program Details
- Overview
- Admissions
- Academics
- What You'll Learn
- Benefits
Applied data science is an engaging career path for those seeking to be leaders in a fast-paced world where information and technology are changing the ability for organizations to be more strategic in their operations.
Students in Eastern Connecticut State University’s (Eastern) online Master of Science in Applied Data Science program explore a robust curriculum designed to empower them to make lasting contributions in an increasingly data-centric world. This includes the study of big data management, machine learning techniques, database modeling, and visualization design principles, among other relevant topics – including industry-standard programming languages such as R, Python, and SQL.
Who Should Register
Who Should Register
Developing your skills in the online Master of Science in Applied Data Science program can help you prepare to excel in your current role or seek new professional opportunities. By pursuing this advanced degree, students position themselves at the forefront of a dynamic field where they can explore cutting-edge methodologies, harness the power of artificial intelligence and machine learning and translate raw data into tangible solutions. The potential career opportunities are limitless, from pioneering groundbreaking innovations to optimizing strategies and processes within organizations.
Why Choose Eastern?
- Eastern Connecticut State University is accredited by the New England Commission of Higher Education.
- Offers students a strong liberal arts foundation grounded in a variety of applied learning opportunities.
- Ranked among the top 25 public institutions in the North by U.S. News & World Report.
- Awarded 'Green Campus' status by the Princeton Review 13 years in a row.
Admission Requirements
You must provide evidence of having earned a bachelor’s degree with a minimum 2.7 GPA requirement. Work experience will be part of the assessment for students if their GPA is below 2.7.
- A completed application. Includes a $50 non-refundable application fee.
- Recommendations from two references. Two recommendation surveys completed by individuals knowledgeable about the applicant’s abilities to complete graduate work.
- Official college transcript(s) for all non-Eastern colleges/universities attended.
- Personal/Philosophy statement, explaining your professional goals. Personal statements can be uploaded as supplemental items in the online application system.
- A résumé/CV addressing your professional history, educational, and career interests.
Curriculum
Required Courses
| Course Code | Course Title | Credit Hours |
|---|---|---|
| DSC509 | Data Science Practicum | 3 |
| DSC507 | Data Visualization | 3 |
| DSC508 | Special Topics in Data Science | 3 |
| DSC504 | Communicating with Data | 3 |
| DSC506B | Applied Machine Learning (B) | 3 |
| DSC504B | Communicating with Data (B) | 3 |
| DSC505 | Databases and Big Data Systems | 3 |
| DSC509B | Data Science Practicum (B) | 3 |
| DSC508B | Special Topics in Data Science (B) | 3 |
| DSC505B | Databases and Big Data Systems (B) | 3 |
| DSC506 | Applied Machine Learning | 3 |
| DSC501 | Introduction to Data Science | 3 |
| DSC507B | Data Visualization (B) | 3 |
| DSC502 | Python for Data Science | 3 |
| DSC501B | Introduction to Data Science (B) | 3 |
| DSC503 | Applied Statistical Methods for Data Science | 3 |
| DSC503B | Applied Statistical Methods for Data Science (B) | 3 |
| DSC502B | Python for Data Science (B) | 3 |
What You'll Learn
Students in the Applied Data Science Master’s program will:
- Demonstrate an ability to acquire, assess, manage, and organize data.
- Clean, process, and prepare data for analysis.
- Apply suitable methods to analyze real-world data and interpret the results.
- Critique and identify limitations of analyses.
- Create, interpret, and critique visualizations of data and results.
- Effectively communicate (in writing and orally) methods and results of analyses to technical and non-technical audiences
- Demonstrate the ability to successfully complete the full cycle of a project based on complex data.
Career Opportunities
- Data Scientist
- Data Analyst
- Data Engineer
- Machine Learning Engineer
- Business Analyst
Career Outlook
- 35% Projected job growth (2022-2032)*
- 17,700 Projected job openings per year (2022-2032)*
- $103,500 Median annual salary (as of 2022)*
*Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, Data Scientists, on the internet at https://www.bls.gov/ooh/math/data-scientists.htm (visited September 6, 2023).
National long-term projections may not reflect local and/or short-term economic or job conditions, and do not guarantee actual job growth. Degree program options do not guarantee career or salary outcomes. Students should conduct independent research for specific employment information.