BS in Data Science
Laurel, USA
DURATION
3 up to 4 Years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2025
TUITION FEES
USD 13,175 / per semester *
STUDY FORMAT
Distance Learning, On-Campus
* tuition rates are subject to change
Key Summary
Introduction
In the modern digital age, data has become an integral part of human life. From social media platforms to financial institutions, and healthcare systems to e-commerce, data is continuously generated and consumed in immense volumes. As we enter the era of big data and artificial intelligence, one field has emerged from the shadows to the forefront of the job market: Data Science. A Bachelor of Science in Data Science is becoming an increasingly attractive choice for young people deciding their career paths. Here's why.
- A High Demand Field
- Competitive Salary
- A Versatile Degree
- Challenging and Fulfilling Work
- The Future is Data-Driven
Enrolling in a Bachelor of Science in Data Science program is an investment in your future. It provides a robust foundation for further specializations and prepares you for a world that is increasingly relying on data to navigate its complexities.
While it is a demanding field, requiring a strong foundation in mathematics, statistics, and programming, the rewards are worth the effort. Data science is a field that offers not only a promising career but also a chance to be at the forefront of the technological revolution, translating data into actionable insights that drive decision-making and innovation.
If you are a problem-solver at heart, have an affinity for numbers, and are intrigued by the power of data, a Bachelor of Science in Data Science might just be the perfect career path for you. Itโs more than just a degree; itโs a ticket to the future.
Admissions
Curriculum
Business Management - 33 Credits
- BUS-270 Financial Accounting
- BUS-275 Human Resource Management
- BUS-279 Introduction to Leadership
- BUS-289 Entrepreneurship and Small Business Management
- BUS-301 Project Management
- BUS-358 Internship
- BUS-378 Legal Environment of Business
- BUS-386 Organizational Theory/Behavior
- BUS-410 Strategic Management
- SDE-457 Senior Design Project I
- SDE-458 Senior Design II
Analytics - 42 Credits
- DS-101 Introduction to Data Sciences
- CS-120 Intro to Programming Using Python
- CS-150 Programming in C
- CS-220 Database Management
- CS-240 Introduction to Data Mining
- BUS-240 Statistical Methods in Data Science
- BUS-245 Writing and Communication in Data Science
- BUS-284 Data Identification and Collection Strategies
- BUS-310 Data Mining for Effective Decision-Making
- CS-350 Data Visualization
- CS-360 Text Mining and Natural Language Processing
- CS-370 Computer Vision
- BUS-443 Marketing Analytics: Decision-Making in the Information Age
- CS-440 Advanced Machine Learning
Mathematics and Sciences - 20 Credits
- BUS-247 Quantitative Methods for Business Analytics
- MA-112 Intermediate Algebra
- MA-114 Algebra and Trigonometry
- MA-128 Statistics
- MA-261 Calculus I
- Science Elective*
Humanities and Social Science - 21 Credits
- BUS-174 Intro to Business and Management
- EN-101 English Communications I
- EN-102 English Communications II
- HU-331 or HU-332 Arts and Ideas
- SS-351 Ethics
- Humanities Elective*
- Social Sciences Elective*
Electives - 6 Credits
- Computer Science or Mathematics Electives*
Program Tuition Fee
English Language Requirements
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