Meet Your Major
A data scientist has an appetite for looking at the world through a different lens. You might be a number cruncher, a trend observer or a pattern finder.
What is Data Science?
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms. The world of data science crosses many industries, from creating better dating apps, to helping policymakers develop recommendations to curing cancer. Majoring in data science will prepare you to be technically proficient to compile and synthesize data in both scientific and creative ways.
Why Study Data Science?
As a data scientist, you’ll become part of a booming industry where your knowledge of deep learning, programming skills and data processing provides a range of job opportunities. Studying data science provides a number of important benefits, including:
- Job security: Data will build the future digital economy. By 2021 the demand for data scientists and data engineers is expected to grow by 29%.
- Career mobility: Data scientists and data analysts are needed everywhere and will find their skills in demand across many different industries such as health care, professional sports, retail, accounting, business, finance and entertainment. They also do more than just analyze raw data and data sets. Data scientists also study business problems, sharpen their decision-making skills and examine business intelligence - all areas transferable to different career paths.
- Future proof: A strong technical and analytical foundation today will ensure that data scientists will get to build the future and become leaders in their field tomorrow.
What You’ll Learn
Using data science tools, you’ll build your knowledge in a number of areas, including:
- Computational and statistical thinking
- Mathematical foundations
- Application of computation
- Model building and assessment
- Data curation and management
- Data analysis and data visualization
- Knowledge transference - communication and responsibility
As a data science major, you will develop the competitive skills you need to enter the thriving data science job market. You’ll investigate machine learning and artificial intelligence and learn how to analyze big data, unstructured data and data analytics.
- You’ll major in a degree designed specifically by data scientists and industry experts and managed by a corporate advisory board.
- You’ll get hands-on experience digging into large amounts of data and examining programming languages and machine learning algorithms.
- Our undergraduate program draws from the strengths of our Master of Science in Data Science.
- With flexible program options, you can choose our traditional four-year bachelor’s program or pursue a bachelor’s to master’s path in five years or an accelerated bachelor’s to master’s in four years.
Data Science Jobs
Data scientists are hired by a wide range of companies. You’ll find data scientists working at companies like Netflix, Uber and Microsoft where their technical skillsets in data mining, data collection and statistical analysis are highly desirable. Career options are boundless: data analyst, business analyst and data manager are a few of the many different positions available in the data science field.
- In 2020, the number of available data science and analytics jobs is predicted to grow by 364,000 openings to 2,720,000. (IBM)
- $80,265: Average advertised entry-level salary for a data scientist (Burning Glass Technologies)
What You’ll Take
In addition to the required major courses, students will take nine courses to fulfill the requirements of the liberal studies core curriculum (DSE 1001 and MTH 1217 will satisfy the two STEM requirements). Students will also have seven open electives for a total of 124 credits.
The curriculum for the Bachelor of Science in Data Science consists of 60 credits. These include 14 required 4-credit courses and two required 2-credit courses.
Data Science Major Requirements
(11 courses, 40 credits)
|DSE 1001||Foundations of Data Science I (4 credits)|
|DSE 1002||Foundations of Data Science II (4 credits)|
|DSE 2001||Creating Information Graphics (4 credits)|
|DSE 3001||Data Mining and Predictive Analytics I (4 credits)|
|DSE 3002||Data Mining and Predictive Analytics II (4 credits)|
|DSE 3010||Machine Learning in Data Science (4 credits)|
|DSE 3820||Topics in Data Science (4 credits)|
|DSE 4000||Data Science Internship (4 credits)|
|DSE 4710||Text Mining (2 Credits)|
|DSE 4760||Ethics in Data Science (2 credits)|
|DSE 4900||Data Science Practicum (4 credits)|
Data Science Major Cognates
(5 courses, 20 credits)
MTH 1110 Basic Statistics with Fantasy Football
MTH 1115 Calculus and Quantitative Methods for Business
MTH 1217 Calculus I
|MTH 1314||Discrete Mathematics|
|MTH 1500||Applied Statistics for Data Science|
CSC 1600 Data Science Programming using Python
CSC 1611 Problem Solving with Python