WASHINGTON UNIVERSITY IN ST. LOUIS · UNITED STATES
Master of Science in Engineering Data Analytics and Statistics
Master's · Taught in en
At a glance
24 mo
Duration
—
IELTS
—
Tuition / yr
en
Language
Master's
Level
- Gain advanced expertise in data analytics and statistical modeling.Program Focus
- Interdisciplinary approach combining systems science, math, and computer science/engineering.Curriculum Design
- Prepare for high-demand roles in data science and analytics.Career Prospects
- Opportunity to join the next generation of elite data analysts.Program Goal
- Build a valuable professional network.Networking
The Master of Science in Engineering Data Analytics and Statistics (MSDAS) is an academic master's degree designed for students seeking advanced expertise in data analysis and statistical modeling. This interdisciplinary program blends systems science, mathematics, and computer science and engineering to equip graduates with the knowledge and skills to collect, analyze, model, and optimize data using cutting-edge software and analytical tools. The program aims to prepare students for the growing demand for analytics-enabled professionals in various industries, fostering the development of essential skills and a strong professional network. Graduates of this program are prepared to enter roles such as researchers, analysts, and software engineers in leading companies. The curriculum is designed to be rigorous and comprehensive, covering key aspects of data analytics and statistics. This degree is ideal for individuals looking to advance their careers in the rapidly evolving field of data science and analytics.
Curriculum
The MSDAS program requires completion of specific degree requirements, which can be found in the official university bulletin. The curriculum is designed to provide a strong foundation in engineering data analytics and statistics.
- Year 1
- Year 2
Careers
Graduates of the Master of Science in Engineering Data Analytics and Statistics program are well-prepared for a variety of roles in high-demand industries. The program focuses on equipping students with the practical skills and theoretical knowledge needed to excel in data-driven fields. Strong employer demand exists for graduates with expertise in analytics and data science.
- Data Analyst
- Data Scientist
- Researcher
- Analyst
- Software Engineer
Frequently asked questions
- What are the academic prerequisites for the Master of Science in Engineering Data Analytics and Statistics program?
- A bachelor's degree in engineering or a related STEM field is recommended. Helpful upper-level courses include calculus, differential equations, probability and statistics, matrix algebra, and introductory computer science, with advanced computer science topics like data structures being beneficial.
- What is the duration of the Master of Science in Engineering Data Analytics and Statistics program?
- The program structure includes requirements for Year 1 and Year 2. Specific details about the total program duration can be found in the official university bulletin.
- What are the career prospects for graduates of this program?
- Graduates are prepared for roles such as Data Analyst, Data Scientist, Researcher, Analyst, and Software Engineer in high-demand industries. There is strong employer demand for professionals with expertise in analytics and data science.
- How do I apply to the Master of Science in Engineering Data Analytics and Statistics program?
- You should visit the McKelvey School of Engineering graduate admissions section for detailed information. The process involves reviewing program requirements, submitting an online application, and providing supporting documents like transcripts, letters of recommendation, and a statement of purpose.
- Where can I find information on tuition and fees for international students?
- Tuition and fees are subject to change. Please refer to the official Washington University in St. Louis tuition and fees schedule for the most current information.
- Are there any scholarships available for this program?
- The Department Chair's Master's Fellowship is available for MSDAS program applicants. To be considered, you must apply for admission to the program, and further information is available through the McKelvey School of Engineering graduate admissions.
Entry requirements
Baccalaureate DegreeA bachelor's degree in engineering or another STEM-related field is recommended.
Upper-Level CoursesRecommended upper-level courses include: Calculus Sequence and Differential Equations, Probability and Statistics, Matrix Algebra, Introductory Computer Science. Advanced Computer Science topics like Data Structures are also helpful.
Knowledge of a scientific or quantitative social science field is encouraged but not essential for success in the program.
Fees
Tuition (international)Please refer to the official Washington University in St. Louis tuition and fees schedule for the most current information.
Tuition (home)Please refer to the official Washington University in St. Louis tuition and fees schedule for the most current information.
LivingInformation on estimated living costs is available through the university's financial aid or admissions pages.
Tuition and fees are subject to change. It is recommended to consult the university's official finance or admissions pages for detailed and up-to-date information.
How to apply
1. Review Program RequirementsEnsure you meet the suggested academic and degree requirements for the MSDAS program. This includes having a relevant bachelor's degree and completing prerequisite coursework.
2. Visit the McKelvey School of Engineering AdmissionsNavigate to the graduate admissions section of the McKelvey School of Engineering website for detailed information on the application process, deadlines, and required documents.
3. Submit ApplicationComplete and submit the online application form. This typically involves providing personal information, academic history, and program-specific details.
4. Provide Supporting DocumentsUpload all required supporting documents, which may include transcripts, letters of recommendation, a statement of purpose, and resume/CV.
5. Await Admission DecisionApplications are reviewed by the admissions committee. You will be notified of the admission decision based on the program's timeline.
Scholarships
Department Chair's Master's FellowshipSpecific amount not detailed, likely covers tuition and/or stipend.
Frequently asked questions
What are the academic prerequisites for the Master of Science in Engineering Data Analytics and Statistics program?
+
A bachelor's degree in engineering or a related STEM field is recommended. Helpful upper-level courses include calculus, differential equations, probability and statistics, matrix algebra, and introductory computer science, with advanced computer science topics like data structures being beneficial.
What is the duration of the Master of Science in Engineering Data Analytics and Statistics program?
+
The program structure includes requirements for Year 1 and Year 2. Specific details about the total program duration can be found in the official university bulletin.
What are the career prospects for graduates of this program?
+
Graduates are prepared for roles such as Data Analyst, Data Scientist, Researcher, Analyst, and Software Engineer in high-demand industries. There is strong employer demand for professionals with expertise in analytics and data science.
How do I apply to the Master of Science in Engineering Data Analytics and Statistics program?
+
You should visit the McKelvey School of Engineering graduate admissions section for detailed information. The process involves reviewing program requirements, submitting an online application, and providing supporting documents like transcripts, letters of recommendation, and a statement of purpose.
Where can I find information on tuition and fees for international students?
+
Tuition and fees are subject to change. Please refer to the official Washington University in St. Louis tuition and fees schedule for the most current information.
Are there any scholarships available for this program?
+
The Department Chair's Master's Fellowship is available for MSDAS program applicants. To be considered, you must apply for admission to the program, and further information is available through the McKelvey School of Engineering graduate admissions.