Bachelor's Degree in Data Analytics

Our Bachelor of Science in Professional Studies (BSPS) major in Data Analytics combines coursework in data analytics, statistics, math, leadership and ethics to build well-rounded professionals and prepare students to be information technology specialists and decision makers. You’ll learn skills to take complex information and turn it into valuable insights for decision making, often applying the learning to real-world situations.

The BSPS major in Data Analytics provides a foundation in leadership, data ethics and quantitative analysis. You’ll study and develop methods to select the appropriate data, choose the appropriate tool for analysis, then analyze, interpret and present the results effectively and persuasively to stakeholders and decision makers.

Like our other bachelor’s degrees, interpersonal communication and problem-solving skills are integrated throughout the program, ensuring that our graduates integrate effectively into workplace cultures.

Our program integrates quantitative competencies across the curriculum. The skills you will learn are highly transferable, and graduates can use their knowledge to bring value to a wide spectrum of industries.

The BSPS requires 120 semester hours of coursework, including 30 hours for the major in Data Analytics. You may transfer up to 60 semester hours into the degree.

Degree & Major Requirements

DA Major Program of Study

The undergraduate major in Data Analytics is available for the Bachelor of Science in Professional Studies (BSPS).

Total: 30 semester hours. Numbers after course titles represent semester hours earned.

Professional Core

9 semester hours

LDSP368U Leadership in the Global Environment, 3
ISYS309U Data Ethics, 3
MATH265U Applied Statistics, 3

Required

9 semester hours

ISYS304U Introduction to Analytics, 3
ISYS312U Predictive Analytics, 3
ISYS314U Data Visualization, 3

Focus

12 semester hours from the following:

ISYS311U Database Design, 4
ISYS315U Big Data Analytics, 3
ISYS316U Introduction to Business Analytics, 3
ISYS320U Prescriptive Analytics, 3
ISYS355U Computer Programming in Java, 4
ISYS398U Selected Topics, 1-6

Program Highlights

Features

Part-time, evening classes to accommodate work schedules.
Participate in a vibrant, inspiring campus community.
Face-to-face, classroom-based learning experiences are valued in the program, although some classes may be offered online or as in-class/online hybrid experiences.
Transfer up to 60 semester hours.
Dedicated faculty of scholar practitioners who blend theory with real-world practice.

Who Should Enroll?

Professionals in a business where data is vital to the bottom line.
Current data professionals who want to advance their career by gaining new technical skills and credentials.
Individuals interested in visualizing consumer, social, or popular trends.
Mid-career professionals looking to expand their skillset to better support their organization's data needs or assume added data analytics responsibilities.
Those with an interest in technology and quantitative data looking to develop a new career path.

What You’ll Learn

Utilize emerging and increasingly complex tools and cloud competencies to analyze, interpret and leverage data for decision making.
Apply the principles and techniques for framing a narrative problem and expressing the problem in terms of a data analytics solution.
Conduct, interpret and properly document the results of the analysis for a given analytics problem using the appropriate tools.
Effectively present and visually communicate data to a target audience using tools and techniques appropriate to the scenario.

Application Info

Submit an online undergraduate application with fee
Transfer 45-60 semester hours (with earned grade of ‘C’ or better) from a regionally accredited college or university
Meet with the Data Analytics advisor to review transcripts
- Submit original transcripts of all college-level work directly to SPCS
- Take the ACCUPLACER Reading Comprehension and Sentence Skills test scores for placement
Submit TOEFL scores if the applicant’s native language is not English

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