Data Science Undergraduate Certificate
Program Overview
The undergraduate certificate in Data Science is a 15-credit hour program that provides skills in data science and analysis. The program offers two tracks: Computational and Statistical. The Computational Track focuses on computational and technological aspects, while the Statistical Track emphasizes statistical methods. Graduates of the program will be prepared for careers in data science, machine learning, and other related fields.
Program Outline
Outline:
- The undergraduate certificate in Data Science is a five-course (15 credit hour) program.
- It provides skills, both statistical and computational, and technologies for the growing and popular fields involving data science and analysis.
Computational Track
- Required Courses
- CMP SCI 4200 Python for Scientific Computing and Data Science
- CMP SCI 4340 Introduction to Machine Learning
- CMP SCI 4342 Introduction to Data Mining
- Electives
- CMP SCI 3411 Introduction to Data Visualization
- CMP SCI 4030 Introduction to Intelligent Web
- CMP SCI 4151 Introduction to Statistical Methods for Data Science
- CMP SCI 4370 Introduction to Biological Data Science
- CMP SCI 4390 Introduction to Deep Learning
- CMP SCI 4610 Database Management Systems
- MATH 4005 Exploratory Data Analysis with R
- MATH 4090 Introduction to High-dimensional Data Analysis
- MATH 4220 Bayesian Statistical Methods
- MATH 4225 Introduction to Statistical Computing
- MATH 4260 Introduction to Stochastic Processes
Statistical Track
- Required Courses
- MATH 4200 Mathematical Statistics I
- MATH 4210 Mathematical Statistics II
- MATH 4250 Introduction to Statistical Methods in Learning and Modeling
- Electives
- CMP SCI 4030 Introduction to Intelligent Web
- CMP SCI 4200 Python for Scientific Computing and Data Science
- CMP SCI 4300 Introduction to Artificial Intelligence
- CMP SCI 4320 Introduction to Evolutionary Computation
- CMP SCI 4340 Introduction to Machine Learning
- CMP SCI 4342 Introduction to Data Mining
- CMP SCI 4370 Introduction to Biological Data Science
- CMP SCI 4390 Introduction to Deep Learning
- MATH 4005 Exploratory Data Analysis with R
- MATH 4090 Introduction to High-dimensional Data Analysis
- MATH 4220 Bayesian Statistical Methods
- MATH 4225 Introduction to Statistical Computing
University of Missouri St. Louis
Overview:
University of Missouri St. Louis (UMSL) is a public research university located in St. Louis, Missouri. It is the largest university in the St. Louis metropolitan area and boasts a diverse student body. UMSL offers a wide range of undergraduate, graduate, doctoral, and professional programs, with a focus on affordability and accessibility.
Services Offered:
UMSL provides a comprehensive range of services to its students, including:
Academic Support:
Academic advising, tutoring, and writing centers.Career Services:
Career counseling, job search assistance, and internship opportunities.Financial Aid:
Scholarships, grants, loans, and work-study programs.Health, Counseling, and Disability Access:
Counseling services, health services, and disability support.Residential Life:
On-campus housing options and residential life programs.Student Involvement:
Clubs, organizations, and volunteer opportunities.Veterans Services:
Support and resources for veteran students.Student Life and Campus Experience:
UMSL offers a vibrant campus experience with a strong sense of community. Students can participate in a variety of activities, including:
Athletics:
UMSL is home to the Tritons, who compete in NCAA Division II athletics.Performing Arts:
The Touhill Performing Arts Center hosts a variety of performances and events.Student Organizations:
Over 200 student organizations cater to diverse interests.Campus Events:
UMSL hosts numerous events throughout the year, including concerts, lectures, and festivals.Key Reasons to Study There:
Affordability:
UMSL is ranked #1 in Missouri for affordability.Accessibility:
UMSL offers a variety of flexible learning options, including online and evening programs.Research Opportunities:
UMSL is a research-intensive university with a strong focus on community engagement.Location:
UMSL is located in the heart of St. Louis, providing access to a vibrant city and a wealth of cultural and historical attractions.Alumni Network:
UMSL has a large and active alumni network, providing valuable connections for students.Academic Programs:
UMSL offers over 50 undergraduate degrees and numerous graduate programs across a variety of disciplines, including:
Arts and Sciences:
Biology, Chemistry, English, History, Mathematics, Psychology, and more.Business Administration:
Accounting, Finance, Marketing, Management, and more.Education:
Elementary Education, Secondary Education, Special Education, and more.Engineering:
Civil Engineering, Electrical Engineering, Mechanical Engineering, and more.Nursing:
Bachelor of Science in Nursing (BSN) and Master of Science in Nursing (MSN).Optometry:
Doctor of Optometry (OD).Social Work:
Bachelor of Social Work (BSW) and Master of Social Work (MSW).Other:
UMSL is committed to transforming its campus and the surrounding region through strategic initiatives. The university is investing in new facilities and programs to enhance the student experience and contribute to the economic and social well-being of the St. Louis community.