The availability, collection and dissemination of data is at an all time high. Computing power of unprecedented levels are allowing universities and companies the ability to research complex data sets to determine new, effective vaccines, analyze financial risk, create efficient supply chains, and teach a car to drive on its own. These are just a tiny set of examples of the wonders one study using data science.
The Data Science degree is highly interdisciplinary in nature, and may include course work and research with faculty in other areas on campus such as the STEM center, the College of Engineering and the College of Business and Information Technology.
Degree Focus
big data
data mining
machine learning
bioinformatics
artificial intelligence
mathematics
Student Experience
study complex data sets and understand the patterns that each set can reveal.
complete a year-long senior project to show mastery of the skills.
work on projects focused in medicine, biomedical engineering, machine learning, big data, information technology and many other exciting fields
Why LTU? You'll:
- Study with nationally recognized faculty
- Have access to paid internships, which frequently lead to full-time employment
- Work on interdisciplinary projects that hone your team-building and leadership skills
- Experience convenient schedules that include day, evening and online classes
- Have access to LTU’s well-connected career placement services
- Earn your degree in a productive, vital and economically diverse region that is one of the world’s great centers for entrepreneurship, technological achievement and innovation
Data science is one of the fastest growing fields in academics, especially among women and underrepresented students; a field that is commensurate with STEM related disciplines.
CONTACT :
OFFICE OF ADMISSIONS
MCS DEPARTMENT
Curriculum
The data science degree at LTU will include 125 credit hours and students will receive a Bachelor of Science degree in Data Science.
There are four major components to our degree:
- Mathematics and statistics
- Computer science and programming
- Discipline specific topics such as
- Machine learning
- Artificial intelligence
- Big data and data analytics
- Mathematical modeling
- Deep learning
- Bioinformatics
- Information technology
- The LTU Core
