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Bachelor of Science

Computer Science (Data Analytics Concentration)

  • Academics
  • Undergraduate Studies
  • College of Information Technology and Engineering
  • Computer Science (Data Analytics Concentration)

Data Analytics Program Highlights

Harness the power of data.

Computer science is a foundational discipline that drives innovation across nearly every aspect of modern life—from smartphones and smart homes to self-driving cars and intelligent virtual assistants. Computer scientists are critical in shaping how we communicate, work, travel, and interact with technology.

Computer scientists, often working alongside software developers, data scientists, and engineers, use their algorithms, data structures, programming languages, including Python, Java, C#, and SQL, and systems design expertise to solve complex problems and build reliable, scalable software. They are not just coders but analytical thinkers and creative problem-solvers who design the logic that powers everything from operating systems and mobile applications to cutting-edge artificial intelligence systems.

With the rapid evolution of technology, professionals in this field must stay current with emerging trends such as artificial intelligence, machine learning, big data analytics, extended reality (XR), and quantum computing. These technologies are transforming the healthcare, finance, transportation, and entertainment industries, creating a growing demand for skilled professionals.

The Data Analytics concentration equips computer science students with expertise in statistical analysis, data visualization, database systems, and data mining techniques. This concentration focuses on turning raw data into actionable insights that drive decision-making across industries. Graduates are positioned to pursue business intelligence, data engineering, data analytics, software developer, and software engineering careers or advance to graduate programs such as a Master of Science in Information Systems, which combines technical expertise with business acumen, preparing them for leadership roles, or a Master of Science in Data Science, which focuses on data analysis, predictive modeling, statistical computing, and machine learning techniques to extract insights from data.

Whether uncovering trends, building smarter systems, or driving innovation through data, students in the Data Analytics concentration are empowered to lead in a world where data shapes the future.

At a glance
120

Credit Hours

3–4

Years

View Full Curriculum

Learn Your Way

Computer Science - Data Analytics courses are taught exclusively through Baker Online.

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Why Earn a Degree in Computer Science and Data Analytics?

Earning a Computer Science (Data Analytics Concentration) degree will prepare you for a variety of technical careers, including:

  • Data Analyst
  • Business Intelligence Analyst
  • Software Developer
  • Computer Programmer
  • Database Administrator
  • Machine Learning Engineer

Computer Science Curriculum

The Baker College Bachelor of Science in Computer Science with concentration in Data Analytics program is a 3- or 4-year, 120-credit-hour program. The program includes 30 hours in general education, 42 hours in the computer science major, 18 hours in information technology fundamentals, 30 hours in computer science general education, 15 hours in the data analytics concentration, and 15 hours in electives. Data analytics program courses include data structures and algorithms, multiple programming languages, computer architecture, database administration and programming, as well as a senior project.

View Full Curriculum

Sample Courses

Introduction to Data Analytics

Description
This course provides a foundational understanding of data analytics, focusing on the techniques, tools, and methodologies used to extract meaningful insights from data. Students will learn how to collect, clean, visualize, and analyze data to support decision-making in real-world scenarios. The course emphasizes the practical application of statistical and computational methods to uncover trends, patterns, and relationships in data.

Machine Learning

Description
This course provides a comprehensive overview of machine learning concepts, techniques, and applications. Students will investigate the types of machine learning, applications of machine learning, and methods used to evaluate machine learning projects using artificial neural networks.

Big Data Analytics

Description
Introduces students to big data analytics as the science of analyzing data, visualizing data, generating insights and making predictions. Applications include social media analysis, eSports, climate modeling, healthcare, traffic monitoring and numerous other data rich domains. Familiarizes students with Python to manipulate, store and analyze big data. Covers the basic tools for statistical analysis using Python and several machine-learning algorithms.

Outcomes & Performance

  1. Demonstrate competency with various programming languages and operating systems with emphasis on object-oriented design and end-user functionality. 
  2. Analyze a complex computing problem and apply principles of computing and software development fundamentals to produce computing-based solutions.
  3. Create a computing-based solution to meet a given set of computing requirements.
  4. Communicate effectively in a variety of professional contexts.
  5. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles. 
  6. Function effectively as a member or leader of a team engaged in activities appropriate to computer science and software development.
View Outcomes & Performances
This page was last revised on June 17, 2025.
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On Campus Unavailable

Core courses for this degree program are not offered on campus.

For those interested, a selection of general education and prerequisite courses are available on campus each semester.

View campus locations

Available on Baker Online

Courses for this degree program are available through Baker Online.

100% online, this format offers flexible scheduling with 8-week semesters

Baker Online

Unavailable on Online Live

Core courses for this degree program are not offered through Online Live.

For those interested, a selection of general education and prerequisite courses are available through Online Live each semester.

Online Live
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