An in-depth exploration of the techniques and algorithms for creating effective visualizations based on principles from graphic design, visual art, psychology, and cognitive sciences. Explores how to better understand data, present clear findings, and tell engaging data stories.
Introduction to concepts in cybersecurity, including cryptography; instruction detection/prevention; attacking/defending; cybersecurity tools; malware and reverse engineering; defensive programming.
Is a Computer Science Degree Required to Qualify?
No. Applicants with a Bachelor of Science (B.S.) degree in Engineering, Mathematics, Physics or another closely related field are also eligible.
Programming and data storage with cloud architectures. Topics include the Apache Hadoop Ecosystem and related programming frameworks.
Am I Eligible?
Connect with one of our enrollment advisors or visit our Frequently Asked Questions Page to learn more about program eligibility.
Advanced topics in Data Mining are presented. These include the pattern analysis of numerical, categorical, time, and textual data. The course focuses on algorithms for clustering and predictive modeling with special attention to extracting useful information from raw data, and methods for data validation.
Recognition
U.S. News & World Report showed the multi-faceted benefits of a Baylor University degree in its most recent rankings. The publication issued ranks including:
This course surveys practical areas of data science using an application based approach. Additionally, students are introduced to new content and coding paradigms for developing more intelligent data processing environments. Students participate in guided projects intended to replicate the integration of scalable computing, integration of very large passive and active high-speed data sets, and new analytic approaches.
Data Science Track Curriculum
The courses you will take in the Master of Computer Science online - Data Science track are listed below. Based on your previous education, you may need to take some foundation courses prior to beginning your core coursework. They are listed in the brochure and an enrollment advisor can help determine if they are necessary.
Application Deadline: Now Accepting Applications. Seating is limited.
Next Start Date: May 8th, 2023
Data Science Courses in the Online Masters in Computer Science Program
Baylor University connects promising data science students to a world-class faculty. This collaboration goes beyond theoretical exercises to real-world examples of data science problems. Master of Computer Science online candidates collaborate with students worldwide to learn about:
- Applied Data Science
- Cloud Computing
- Data Mining and Analysis
- Data Visualization
High Demand for Computer Science Roles
Texas is the second-largest market
for computer-related positions
- CompTIA, 2022
Job Titles in Data Science
The Master of Computer Science online from Baylor University unlocks opportunities for career advancement. With your graduate degree in hand, you can move from research scientist to the following positions:
- Artificial Intelligence Research Scientist
- Big Data Engineer
- Cloud Engineer
- Computer Scientist
- Data Analyst
- Data Architect
- Data Engineer
- Data Manager
- Data Scientist
- Database Engineer
- Director of Data Science
- Machine Learning Engineer
- Senior Data Analyst
- Senior Data Engineer
Are You Ready to be a Data Leader?
The Master of Computer Science online connects every course to a broader approach to data science innovation. It also refines skills and analytical processes that extend beyond today’s professional demands. Your coursework and projects open your mind to problem-solving approaches helpful later in your career. Baylor University designed its Data Science track to provide a long-lasting return on investment.
A dedicated Student Success Coach helps every student navigate graduate school from admission through their final project. You can add valuable skills and knowledge from faculty with industry experience. The Master of Computer Science online also keeps student cohorts together to encourage collaboration.
How long is the online Masters in Computer Science - Data Science Track?
Students with a Computer Science background typically complete the program in just over 1.5 years. Students with a non-Computer Science background typically complete the program in just over 2 years. Length to program completion may vary by student.
Is a Computer Science degree required to qualify?
No. Applicants with a Bachelor of Science (B.S.) degree in Engineering, Mathematics, Physics, or another closely related field are also eligible.
Is programming experience required?
Yes, you must be proficient in a high-level, object-oriented programming language such as Java, Python, C, C++, or C#. Programming experience that is self-taught would not apply and proficiency must be acquired via work experience or education.
Am I eligible for the program if I am a self-taught programmer without formal programming education?
Programming experience can only be acquired via education or gained through work experience. If gained through work experience, you must prove your proficiency with programming.
What if I have experience with only one of the five programming languages required?
Experience and proficiency with any one of the five (Java, Python, C, C++, or C#) is sufficient.
If I do NOT have a degree in Computer Science or something similar, which math classes must I have completed to be eligible for the program?
Calculus II AND Linear Algebra.
Where are Baylor ECS graduates employed?
Employers who have hired graduates from the Baylor School of Engineering and Computer Science include:
- 3M
- Amazon
- AT&T
- Bell Helicopter
- Brazos Electirc
- ExxonMobil
- Galatia Associates
- General Motors
- Google
- Headstorm
- HP
- IBM
- Intel
- L3Harris
- Linc
- Lockheed Martin
- NASA
- Northrop Grumman
- Qualcomm
- Raytheon
- Rivian
- Samsung
- SpaceX
- Tesla
- U of Ireland
