Bachelor of Science in Data Science
Pursue a Data Science Bachelor’s Degree Online or On-Campus at Post UniversityProgram Overview
Do you have a knack for mathematics? Do you use logic to make decisions? Are you more comfortable pursuing a course of action once you have “all the facts?” Then a future in the field of data science may be for you. Explore what it takes to capitalize on your analytical nature with the STEM-designated Bachelor of Science in Data Science from Post University, available online or on our main campus in Waterbury, Connecticut.
In a blend of mathematics and computer science, this bachelor’s degree in data science program examines statistical analysis methods, modeling techniques, and data science analytics. It also provides programming experiences in data compilation for large data sets, statistical analysis methods, modeling techniques and strategies, and more. STEM-designated coursework explores how to execute mathematical analysis in finance, economics, biology, social sciences, business, and data science. The program also reviews data visualization practices, database structures, and computational tools used to interpret structured and unstructured data. Emphasis is placed on drawing data-based conclusions, evaluating the reliability of data sources, and presenting findings through clear quantitative narratives that support informed decision-making across industries.
Curriculum
Total Program Credits: 120 Required Credits
Essential Skills Core: 21 Required Credits
General Education: 21 Required Credits
Major and Concentrations: 57 Required Credits
Open Electives: 21 Required Credits
Industry-Focused Curriculum for Professional Skills
Coursework for your data science bachelor’s degree is designed to help you build the foundation of insights necessary to:
- Use industry knowledge and relevant software, programming languages, and algorithms to gather, synthesize, organize, and prepare quantitative information
- Outline secure data storage and maintenance processes and identify supporting tools
- Analyze and model quantitative information by using appropriate mathematical, statistical, and algorithmic analysis procedures
- Express contextual, quantitative information to others
Concentrations
Bachelor’s Degree in Data Science Concentrations
As you progress in the program, the curriculum can be customized to your career focus with the following data science concentrations:
Big Data
The concentration in big data focuses on learning and developing programming-based solutions for storing, mining, cleaning, filtering, and, ultimately, analyzing large volumes of data.
Interdisciplinary Studies
Under department advisement, this concentration lets students design a unique program of study that crosses disciplinary boundaries with 12 credit hours in relevant studies from other disciplines.
Following the core coursework, you will be required to complete an independent study project or internship.
Sample Courses
Introduction to Information Technology
This course is designed to provide an in-depth understanding of information technology. Students have the opportunity to gain practical knowledge of information technology systems and the different frameworks in which IT is managed in business. Topics include cybersecurity, computer architecture and organization, application platforms, database management, web technologies, and network configurations. In addition, the course examines the history of information technology and its impact on society. Upon completion of this course, students could be prepared to take the CompTIA IT Fundamentals+ certification exam.
Python Programming
This course provides the opportunity to equip a motivated student with little or no prior programming experience with a working knowledge of the Python programming language and the Pandas package for descriptive data analytics and library functions. Covers data types, control structures, functions, parameter passing, library functions, arrays, inheritance, and object-oriented design. This course will provide a pragmatic and hands-on introduction to the Python programming language, with a focus on practical applications and lab activities, rather than theoretical topics.
Data Structure and Algorithms
This course will apply advanced programming techniques to a fundamental understanding of solving complex algorithmic problems. The course will cover analysis of algorithms, arrays, vectors, linked-lists, stacks, queues, priority queues, trees, traversal searches, binary trees, sorting, graphs, and hashing.
Time Series & Econometrics
This course begins with simple linear regression and builds to time series analysis, stationary and non-stationary models, models for estimation, seasonality, and structural breaks. Emphasis will be placed on the importance of empirical research and the steps involved in conducting and using the learned strategies to complete an empirical research project.
The sample courses listed are intended to illustrate the types of coursework included in this program. Course offerings and requirements may change. Please consult the official University Catalog for current and complete program information.
“Data scientists are found in many sectors such as health, banking, governments, public administrations, among others. Our program covers how to lead data analysis projects whose purpose may include industrial process improvement, risk analysis, anticipation of possible epidemics in certain geographical areas, analysis of drug resistance of certain bacteria, the reorientation of marketing campaigns using internal company data with information obtained after analyzing trends in social networks, the design of new products that cover needs detected in certain market niches, the study of the evolution of ecosystems and, in general, decision-making in any organization.”
Ready to Apply?
Ready to Apply?The admissions team is available to walk you through each step of the application process and clarify any remaining questions.
Accreditation
Institutional Accreditation
College (University) is accredited by the New England Commission of Higher Education (formerly the Commission on Institutions of Higher Education of the New England Association of Schools and Colleges, Inc.). Inquiries regarding the accreditation status by the Commission should be directed to the administrative staff of the institution. Individuals may also contact:
New England Commission of Higher Education
301 Edgewater Place, Suite 210, Wakefield, MA 01880
(781) 425 7785
E-Mail: [email protected]
For more information on Post University's state licensure or accreditation, please visit the Accreditation page.
Undergraduate Admissions Requirements
Post University’s undergraduate admissions process is structured to be accessible for students planning to study online or on campus. All applicants must complete an admissions application and demonstrate high school completion or an equivalent credential.
Acceptable documentation includes:
- An official high school transcript showing graduation
- A General Education Development (GED) certificate or equivalent diploma
- A home-school transcript recognized by the student’s state
- An associate degree transcript
- Official college-level credit, typically 60 or more semester hours, that may apply toward a bachelor’s degree
Applicants are encouraged to connect with admissions advisors, including participating in an advisory session or interview, to support their transition into their selected program.
For detailed and format-specific requirements, including documentation and enrollment steps, please visit:
Why Students Choose Post University
“It doesn’t matter where you came from or what your background is, or how often you’ve tried to start school. There’s always going to be someone there for you to connect to. There’s nothing to be embarrassed about with getting help. You’re not judged here, and the access to whatever support you need is everywhere.”
Tuition & Ways to Save
An education at Post University is designed to provide long-term value. Tuition is competitively structured, and financial aid opportunities are available for those who qualify. Admissions and financial aid teams work with you to review available options and explain each step of the process clearly.
With multiple funding opportunities available, you may qualify for more than you expect.
Tuition Reductions →
Tuition reductions are available for eligible active-duty military service members, veterans, public safety professionals, education partners, alumni, and others who qualify.
Scholarships →
Post University offers a variety of institutional scholarships. Dedicated scholarship advisors assist students in identifying both institutional and relevant external scholarship opportunities.
Financial Aid →
Federal financial aid programs are available for many degree programs for students who qualify.
Transfer Credits →
Post University will evaluate course credit completed at eligible institutions, as well as credit earned through approved examinations or prior learning experiences, for potential transfer.
Military Benefits →
Military education benefits extend to active-duty service members, reservists, veterans, their families, and eligible Department of Defense civilian employees.
Student Loans →
Federal and private loan programs may be available to students who qualify.
Tuition Reductions →
Tuition reductions are available for eligible active-duty military service members, veterans, public safety professionals, education partners, alumni, and others who qualify.
Scholarships →
Post University offers a variety of institutional scholarships. Dedicated scholarship advisors assist students in identifying both institutional and relevant external scholarship opportunities.
Financial Aid →
Federal financial aid programs are available for many degree programs for students who qualify.
Transfer Credits →
Post University will evaluate course credit completed at eligible institutions, as well as credit earned through approved examinations or prior learning experiences, for potential transfer.
Military Benefits →
Military education benefits extend to active-duty service members, reservists, veterans, their families, and eligible Department of Defense civilian employees.
Student Loans →
Federal and private loan programs may be available to students who qualify.
Ready to take the next steps?
Admissions advisors are available to answer your questions, explain the application process, and help you explore which program aligns with your interests and experience.
If you are considering Post University, we invite you to begin the conversation.
Why Post University?
At Post University, you are not an anonymous face in a crowded lecture hall. You are known and supported from your first conversation through program completion. That is the meaning behind Post Makes It Personal®.
Our approach is grounded in three commitments: career focus, value, and personalization. Whether you are beginning your undergraduate journey, returning to continue your education, or pursuing a graduate degree, Post University offers programs developed with professional practice in mind, led by industry-experienced faculty, and delivered in formats designed to fit into your life.
Post people come from many different backgrounds and life stages. Some are stepping onto campus for the first time, while others are learning online while balancing work, family, military service, or community commitments. Across every format, students are part of a community built on connection, structure, and shared purpose.
Frequently Asked Questions
What Could I Do With a Degree in Data Science?
A bachelor’s degree in data science enables you to build the skills and knowledge to solve complex problems through data-driven insights. At Post University, you will have the opportunity to learn how to apply quantitative techniques to identify issues that require analytical solutions and translate information across various mathematical frameworks.
Your studies will cover the entire process of data analysis, from collecting and storing data to extracting meaningful insights. You will explore how to design data models, clean and preprocess data, detect anomalies, and handle missing data. Additionally, you will gain experience applying advanced techniques such as machine learning and statistical analysis to build both descriptive and predictive models.
Moreover, your bachelor’s degree in data science will give you the opportunity to prepare to communicate your findings effectively by using data visualization tools and methods to present results clearly and highlight the most important insights for decision-making.
Is Data Science a STEM Field?
Yes, data science is considered a STEM (science, technology, engineering, and mathematics) field. It involves the application of scientific principles, mathematical theories, and computational techniques to analyze and interpret data. Data scientists employ tools, technologies, and methodologies from various STEM disciplines to extract meaningful insights from complex datasets and solve real-world problems. Through this interdisciplinary approach, data science leverages the core concepts of STEM providing solutions and innovations across various industries.
What Is a Data Science Major?
A data science major blends mathematics and computer science to analyze and interpret complex data sets. It involves statistical analysis methods, modeling techniques, and programming experiences. Students learn to execute mathematical analysis across diverse fields, including finance, economics, biology, and social sciences. The major prepares individuals to design comprehensive data analysis projects, apply and implement advanced techniques such as machine learning, and effectively communicate their findings.
What Are Data Science Courses?
Data science courses cover a range of topics, including statistical analysis, programming languages such as Python and R, data visualization, machine learning, and database management. Students are trained to collect, synthesize, and analyze quantitative information using mathematical, statistical, and algorithmic procedures. They also have the opportunity to acquire skills in data modeling, visualization, and enhancing their ability to convey complex insights effectively. Through this DS curriculum, students could gain an understanding of the theoretical and practical aspects of data science.
Which Degree Is Best for Data Science?
While there is no definitive requirement, most data scientists hold at least a bachelor’s degree in a quantitative field such as computer science, mathematics, statistics, or data science. Advanced positions/roles may require a master’s or doctoral degree, particularly in specialized domains like machine learning, artificial intelligence, or data engineering. Additionally, proficiency in programming languages, statistical analysis, and data visualization tools is essential.
What Are the Requirements for a Degree in Data Science?
Pursuing a degree in data science typically includes coursework in mathematics, statistics, computer science, and data analysis. Students may need to complete core courses covering topics such as calculus, linear algebra, probability, programming, data structures, and algorithms. Additionally, specialized courses in data science methodologies, machine learning, and data visualization are often required. Many programs may also offer concentrations or electives in areas like big data or interdisciplinary studies.
Can You Pursue a Bachelor’s in Data Science Online?
Yes, you can pursue a bachelor’s degree in data science online. Online students have access to the same curriculum, faculty support, and resources as on-campus students, allowing them to gain expertise in data science while balancing other commitments.
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