Online Data Science Degree
Bachelor of Science in Computer Science - Data Science
Data continues to be an important focus of discussion and scrutiny. Take a deeper dive into data analytics with a bachelor’s degree in computer science with a data science concentration from CTU. You’ll study how to build computer software solutions through programming with algorithmic techniques while exploring a broad range of theoretical and practical knowledge, methods, processes, and skills. Explore the fundamentals of data, including data mining, visualization, machine learning and data warehousing in this concentration.
The BSCS in Data Science:
- Has CTU Fast Track™ exams available - a series of mini modules designed to test your knowledge of key course objectives, offering the opportunity to earn college credit for what you already know
- Is ranked among the Best Online Bachelor’s Programs by U.S. News & World Report for the ninth year in a row*
At CTU, students come first. Our flexible online course schedules are designed tohelp you to build a class schedule around your schedule. And with grants and scholarships available for those who qualify, a degree from CTU can be both achievable and affordable. Learn more below or fill out the form to speak with an admissions advisor.
* CTU programs are ranked among U.S. News & World Report’s 2023 Best Online Programs.
Relevant Institutional/Programmatic Accreditation
CTU is institutionally accredited by the Higher Learning Commission www.hlcommission.org
CLASSES START
- October 03, 2023
- November 14, 2023
- January 02, 2024
TOTAL CREDITS
PROGRAM AVAILABILITY
- Online
Program Details
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Program Overview
The Bachelor of Science in Computer Science (BSCS) with a concentration in Data Science is a 183-credit hour program that is offered online. The program consists of 51 general education credits, 88 credit hours in the computer science core, and 44 credit hours in the data science concentration.
The Bachelor of Science in Computer Science program is designed for students who are interested in pursuing a career centered on building computer software solutions through programming with algorithmic techniques. Students will explore a broad range of theoretical and practical knowledge, methods, processes, techniques and skills to effectively design and develop the computer software according to domain-specific requirements.
The curriculum of BSCS offers broad and detailed knowledge on how a computer’s software works, and how to design and develop different levels and types of computer software. This is different from the curriculum of the Computer Engineering program which is focused on how to design and develop computer hardware. It is also different from the curriculum of the Information Technology program, which is focused on how to apply both computer hardware and software to design, develop and support high level end-user-oriented business systems, services or applications.
This program does not lead to additional licensure or certification. As such, CTU has made no determination regarding prerequisites for licensure or certification in any state or jurisdiction.
College of Computer Science, Engineering and Technology Mission Statement
Through innovative industry-current curricula and technology-enabled student-centered teaching, the College of Computer Science, Engineering and Technology empowers students to become motivated, creative, ethical, and skillful professionals who can resolve challenges in Computer Science, Computer/Electrical Engineering, and Information Technology in order to meet the needs of the digital economy.
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Degree Requirements
Courses: General Education
CreditsCourse Title Course Description Credit Hours COMS105 Interpersonal Communications 4.5 or COMS203 Speech Communications 4.5 ENGL104 Introductory Written Communication 4.5 ENGL105 Professional Written Communications 4.5 HIST101 Modern American History: 1950 to the 21st Century 4.5 MATH111 College Algebra for Technical Programs 4.5 PHIL101 Introduction to Ethics 4.5 PSYC102 Introductory Psychology 4.5 SCI101 Introduction to the Sciences 4.5 SCI103 Science and Technology- Laboratory Course 1.5 SCI201 Environmental Science and Sustainability 4.5 SOCL102 Introductory Sociology 4.5 UNIV104 Academic and Career Success 4.5 Total Credit Hours: 51 Courses: Core
CreditsCourse Title Course Description Credit Hours CS101 Problem Solving in Computer Science 4 CS118 Principles of Programming Languages 4 CS119 Introduction of Programming 4 CS141 Fundamentals of Computer Organization and Architecture 4 CS219 Python Programming 4 CS221 SQL Programming 4 CS226 Java Programming 4 CS228 C++ Programming 4 CS233 Fundamentals of Data Structures 4 CS253 Introduction to Database Systems 4 CS267 Computer Algorithms 4 CS311 Mobile Programming 4 CS337 Introduction to Parallel Computing 4 CS341 Principles of Operating Systems 4 CS349 Software Engineering 4 CS356 Foundations of Big Data Analytics 4 CS491 Computer Science Team Project I 4 CS492 Computer Science Team Project II 4 CSS150 Introduction to Computer Security 4 IT204 Fundamentals of Networking 4 MATH211 Applications of Discrete Mathematics for Computer Systems and IT 4 MATH311 Data Driven Statistics for Computer Systems and IT 4 Total Credit Hours: 88 Courses- Concentration
CreditsCourse Title Course Description Credit Hours CS367 Streaming Data Analytics 4 CS397 Data Warehousing 4 CS378 NoSQL Databases 4 CS379 Machine Learning 4 CS473 Data Mining 4 CS479 Data Visualization 4 Select 20 Credits from the list of courses shown below 20 Total Credit Hours: 44 Courses - Elective Choices
CreditsCourse Title Course Description Credit Hours CS227 Linux Programming 4 CS361 Principles of User Interface Design 4 CS368 Fundamentals of Software Requirements 4 CS374 Fundamentals of Software Design 4 CS468 Software Service Construction 4 CS469 Software Quality Assurance 4 CSS200 Principles of Network Security 4 CSS250 Security Risk Management 4 CSS280 Ethical Hacking 4 CSS321 Software Assurance 4 EM200 Introduction to Website Development 4 EM218 Web Development II 4 EM228 Scripting for the Web 4 EM270 Emerging Media and Technology 4 IT304 Computer Networks and Communications 4 Courses- Elective Choices
CreditsCourse Title Course Description Credit Hours CS227 Linux Programming 4 CS361 Principles of User Interface Design 4 CS368 Fundamentals of Software Requirements 4 CS374 Fundamentals of Software Design 4 CS468 Software Service Construction 4 CS469 Software Quality Assurance 4 CSS200 Principles of Network Security 4 CSS250 Security Risk Management 4 CSS280 Ethical Hacking 4 CSS321 Software Assurance 4 EM200 Introduction to Website Development 4 EM218 Web Development II 4 EM228 Scripting for the Web 4 EM270 Emerging Media and Technology 4 IT304 Computer Networks and Communications 4 Total Credit Hours: 183
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Accreditations and Alignments
Outcomes for this program align with the educational standards of ABET.
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Program details are provided lower on the page.
Classes start October 3, 2023 *
*Start dates may vary by program and location.
FAQs
CTU’s Bachelor of Science in Computer Science (BSCS) with a concentration in Data Science Degree Program is designed to provide knowledge, skills, and abilities relevant for pursuing potential opportunities in the workforce. This concentration of BSCS degree program emphasizes data analytics, how to build computer software solutions through programming with algorithmic techniques, and a broad range of theoretical and practical knowledge, methods, processes, and skills. Students may explore the fundamentals of data, including data mining, data visualization, machine learning and data warehousing in this bachelor’s degree concentration.
As you work to complete your BSCS with a concentration in data science, in addition to the core courses of BSCS program such as computer algorithm, programming, and operating system, you will be immersed in courses where you will study these topics and much more machine learning; NoSQL databases; data warehousing; streaming data analytics; and data mining.
Courses for the BSCS with a concentration in data science start online approximately every five weeks. Completion of the CTU admissions process will depend on how quickly you complete the steps in the CTU online application process. You may complete the application process over the phone with an advisor or you may go online. Once you’ve completed the online application, you may hear from an advisor within the following 24 hours to discuss the next steps toward starting your degree program.
The BSCS with a concentration in data science degree program consists of 183 credits. You may be eligible for transfer credit, which is evaluated on an individual basis. Not all credits are eligible to transfer. CTU Fast Track™ exams offer the opportunity to earn college credit for what you already know—allowing you to complete your degree up to 30% faster.*
* The ability to reduce time in school and/or reduce tuition towards the full cost of a degree program depends on the number of CTU Fast TrackTM exams successfully passed. Fast Track program credits are non-transferable. Not all programs are eligible for possible 30% reduction in time and money. Courses eligible are subject to change. Students should not rely on potential Fast Track savings or eligibility when making an enrollment decision.
Through innovative industry-current curricula and technology-enabled student-centered teaching, you will study through classroom learning and hands-on experience that aligns to industry standards and helps develop skills that are applicable to the needs of the digital economy.
The BSCS is not programmatically accredited; however, outcomes for the BSCS with a concentration in data science degree program at CTU are in alignment with the educational standards of the Accreditation Board for Engineering and Technology, Inc. (ABET).