Online Masters in Computer Science – Data Science Track

Online Masters in Computer Science – Data Science Track

Big Data Leads to Big Demand

In the Online Masters in Computer Science program with a concentration in Data Science, you will envelop techniques and algorithms for efficient management and analysis of big data. This field employs mathematics, statistics and computer programming disciplines, and incorporates advanced techniques of data mining, machine learning, and visualization.

In particular, our Data Science degree teaches students to:   

  • Gain insight into advances in very large-scale data repositories, exploring analytical approaches to handling the five Vs – volume, velocity, variability, veracity, and value – of big data  
  • Learn the components of parallel programming based on the MapReduce paradigm within the Hadoop ecosystem  
  • Examine advanced topics in cloud environments (AWS, Google, Azure) and the economics, history, differences, and importance of architecture decision 
  • Assess concepts related to virtual private clouds (VPCs), instance types, micro services, and storage services, in addition to deeper architecture concepts 
  • Understand concepts, techniques, and applications of data warehousing and data mining, as well as advanced topics in machine learning and statistics 
  • Examine visualization as a tool for data analysis, recall, inference, and decision-making, exploring high-dimensional data spaces, and tools for visual description and presentation   

Program Features

  • Earn your Master of Computer Science degree from Baylor University, ranked #79 among national universities by U.S. News & Report.
  • 100% online.
  • Courses are 15 weeks, with three intakes per year.
  • Students learn from nationally recognized faculty.
  • Total credits: 33 (Bachelor's in Computer Science required).
  • Total credits: 48 with foundation courses (Bachelor's in other relevant STEM degrees).
Big Data Analytics

This course will explore the advances in large‐scale data repositories. Students will be exposed to advanced topics in analytical approaches to handling the five Vs — volume, velocity, variability, veracity, and value — of big data. Parallel programming based on the MapReduce paradigm within the Hadoop Ecosystem is used to address these needs.

Admissions Requirements  

  • 3.0 GPA in bachelor’s degree   
  • Three letters of recommendation   
  • Resume   
  • Proficient in a high-level programming language such as Python, C, C++, C#, or Java
Cloud Computing

This course focuses on advanced topics in cloud environments (AWS, Google, Azure) and economics, history, differences, and importance of architecture decisions such as the decisions that drive analytics, data lakes, arts, and warehouses. The core concepts of virtual private clouds, instance types, microservices, and storage services will be addressed, in addition to deeper architecture concepts.

Recognition

U.S. News & World Report showed the multi-faceted benefits of a Baylor University degree in its 2020 rankings. The publication issued ranks including: 

Data Mining

An introduction to the concepts, techniques, and applications of data warehousing and data mining. Topics include the design and implementation of data warehouse and OLAP operations; data mining concepts and methods, such as association rule mining, pattern mining, classification, and clustering; and the applications of data-mining techniques to complex types of data in various fields. Advanced topics in machine learning and statistics will be covered.

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Visualization of High Dimensional Data

Visualization as a tool for data analysis, recall, inference, and decision‐making. This advanced class will explore high‐dimensional data spaces and tools for visual description and presentation. Principles of effective visualization, including data‐visual mapping, interaction techniques, color theory, cognitive and perceptual psychology, and the human factors of visual depictions of data.

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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 these courses. They are listed in the brochure and an enrollment advisor can help determine if they are necessary.

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:  

  • Big Data Analytics 
  • Cloud Computing 
  • Data Mining 
  • Visualization of High Dimensional Data 

The Skills You Need for the Job You Want

Baylor University’s Master of Computer Science online offers a Data Science track that develops marketable skills. As a Data Science candidate, you can check off the following in-demand skills identified by Burning Glass Technologies:   

  • Machine Learning (56% growth in the industry need over two years)
  • Tableau (52%) 
  • Big Data (50%) 
  • Data Visualization (44%) 

High Demand For Data Science Roles

The Bureau of Labor Statistics (BLS) projected a 15% growth in computer and information research scientist positions by 2029. High demand for data-driven researchers led to an average salary of $122,840 in 2019. Data science practitioners far outpace most other occupations in salary because of their advanced technical knowledge.  

  • #1 Ranked – job in the U.S. for 2019 – glassdoor.com 
  • 56% Job Increase – in just one year (2018-2019) – linkedin.com 
  • 37% Hiring Growth - over the last three years for data scientists - linkedin.com 

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 Advisor 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.