Master of Science in Data Science - Online
Online USA
DURATION
33 Hours
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request earliest startdate
TUITION FEES
USD 370 / per credit
STUDY FORMAT
Blended
Introduction
HCU's Master of Science in Data Science (MSDS) is your gateway to this dynamic frontier. By blending rigorous academic study with hands-on, real-world applications, the MSDS program prepares graduates not just to navigate the data-driven landscape, but to shape it.
Harness the Power of Data in a Rapidly Evolving Digital Landscape
What sets HCU’s MSDS program apart is its unique fusion of technical expertise and ethical considerations, all viewed through a Christian perspective. In a landscape where data ethics and privacy concerns are increasingly critical, our graduates emerge not only as skilled data scientists but also as responsible stewards of information.
They are prepared to tackle complex challenges, drive innovation, and make data-driven decisions that can positively impact businesses, communities, and society at large. Whether you’re a recent graduate looking to specialize in this high-demand field, or a working professional seeking to pivot your career, HCU’s Master of Science in Data Science provides the knowledge, skills, and ethical foundation to thrive in the data-centric future.
Ideal Students
The Master of Science in Data Science program caters to:
- Recent graduates with backgrounds in computer science, statistics, mathematics, or related fields.
- Working professionals seeking to transition into data science or enhance their current roles.
- Analytical thinkers passionate about leveraging data to solve complex problems.
- Individuals with a strong interest in technology and its applications across various industries.
Successful students in this program typically possess:
- Strong quantitative and analytical skills.
- Curiosity and a drive for continuous learning.
- Excellent problem-solving abilities.
- The capacity to work both independently and collaboratively.
- A desire to apply data science ethically and responsibly.
- Effective communication skills to translate technical findings into actionable insights.
While prior coding experience is beneficial, it is not mandatory. The program’s core courses provide the necessary programming skills in key data science languages like Python and R.
Admissions
Curriculum
To earn a Master of Science in Data Science, 33 credit hours are required along with the following requirements:
- No more than 6 semester hours on transfer from another college or university
- No grade below a “C”
- Cumulative GPA of at least 3.00
Data Science Courses:
- Introduction to Data Science
- Statistics for Data Science
- Machine Learning
- Data Mining and Visualization
- Big Data Analytics
- Python Programming and R Programming
- Data Ethics and Privacy
- Natural Language Processing
- Deep Learning
Career Opportunities
The data science field is experiencing unprecedented growth, with the U.S. Bureau of Labor Statistics projecting a remarkable 35% increase in employment from 2022 to 2032. Graduates of HCU’s MSDS program are well-positioned for exciting and lucrative careers across various industries.
- Data Scientist
- Machine Learning Engineer
- Data Architect
- Big Data Engineer
- AI Specialist
- Data Analytics Consultant
- Business Intelligence Analyst
- Quantitative Analyst
The Master of Science in Data Science at Houston Christian University is more than just a degree – it’s a gateway to becoming a leader in a field that’s shaping the future. By combining technical expertise with ethical considerations, HCU graduates are prepared to make significant impacts across industries while upholding Christian values.
English Language Requirements
Certify your English proficiency with PTE. The faster, fairer, simpler English test, accepted by thousands of universities around the world. PTE, Do it worry-free!