Data Science (BS)
Lindenwood University
Key Information
Campus location
Saint Charles, USA
Languages
English
Study format
On-Campus
Duration
4 years
Pace
Full time
Tuition fees
USD 9,550 / per semester *
Application deadline
Request info
Earliest start date
Request info
* block rate for traditional, full-time tuition
Scholarships
Explore scholarship opportunities to help fund your studies
Introduction
Data Science is an interdisciplinary field that lies at the intersection of Mathematics, Statistics, and Computer Science. Data Scientists use their analytical, statistical, and technological skills to extract meaning and insight from data. They use data to construct statistical models that help them to explain certain phenomena and to make predictions.
Why Study Data Science?
We live in the era of Big Data. Businesses and other institutions have access to considerably more data than at any point in the past. Such institutions need skilled Data Scientists to help them to understand their data, and to use it to make decisions. There is currently a shortage of Data Scientists, and the demand of such individuals is expected to significantly increase over the next few years. Due to the high level of demand, as well as the value provided by Data Scientists, individuals working in this field tend to be very well-compensated for their work. The website glassdoor.com reports that the median salary for Data Scientists in America is $110,000.
Data Science at Lindenwood University
Lindenwood University offers a Bachelors of Science in Data Science. This degree includes coursework in Mathematics, Statistics, Computer Science, Data Analysis, and Machine Learning. Students in this program will get hands-on experience with technological tools used by industry professionals.
Career Opportunities
| 27% Higher Income | 93% Success Rate |
| Our graduates have a 27% higher income than the national median 10 years after enrolling. Source: US Department of Education's College Scorecard/ Department of Treasury 2018. | Investing in a Lindenwood education sets you up for success. 93% of Lindenwood graduates are employed or enrolled in graduate programs within 6 months of graduation. |
Following graduation, you can explore careers in the following areas: Data scientist, data analyst, data engineer, commercial intelligence manager consultant, business analytic, program/project manager, database administrator, and more.
Gallery
Curriculum
Major Coursework
45 credit hours of coursework from the following:
- CSC 14400 Computer Science I
- CSC 24400 Computer Science II
- CSC 30500 Principles of Database Systems
- DSCI 11000 Introduction to Data Science
- DSCI 30100 Data Analysis with R
- DSCI 35600 Machine Learning
- MTH 24100 Statistics for Natural Science
- MTH 27100 Calculus I
- MTH 27200 Calculus II
- MTH 31500 Linear Algebra I
- MTH 34100 Probability and Mathematical Statistics I
- MTH 34200 Probability and Mathematical Statistics II
- MTH 34500 Regression Analysis
Elective Coursework
27-30 credit hours of coursework from the following options:
Students completing the Bachelor of Science in data science must also complete 27 – 30 credit hours of elective courses selected from the two groups below. The elective requirements can be satisfied by completing either of the following options:
9 credit hours of courses from Group 1 and 18 credit hours of courses from Group 2.
15 credit hours of courses from Group 1 and 15 credit hours of courses from Group 2.
Group 1
9-15 credit hours of coursework from the following options:
- BSC 24000 Introduction to Biological Diversity
- BSC 24400 Introduction to Cellular and Molecular Biology
- BSC 24800 Introduction to Ecology and Evolution
- CHM 23000 General Chemistry 1
- CHM 23100 General Chemistry 2
- CHM 24100 General Chemistry 2 Laboratory
- CHM 23200 General Chemistry 3
- CHM 24200 General Chemistry 3 Laboratory
- ECON 23020 Principles of Microeconomics
- ECON 23030 Principles of Macroeconomics
- MGMT 24000 Introduction to Information Systems
- MGMT 26014 Excel for Professionals
- PHY 30100 General Physics I
- PHY 30200 General Physics II
Group 2
15-18 credit hours of coursework from the following options:
- BSC 32000 Plant Biology
- BSC 35300 Microbiology
- BSC 40400 Cell Biology
- BSC 40800 Genetics
- BSC 46400 Evolution
- BSC 46500 General Ecology
- CHM 35500 Analytical Chemistry
- CHM 36100 Organic Chemistry I
- CHM 45500 Instrumental Analysis
- CHM 47200 Physical Chemistry II
- CHM 47300 Physical Chemistry Lab
- CSC 28500 Applied Discrete Structures
- CSC 36000 Data Structures and Algorithms
- CSC 45100 Cooperative Education in Computer Science I
- CSC 45111 Internship
- ECON 33040 Intermediate Microeconomics
- ECON 33045 Intermediate Macroeconomics
- ECON 43078 Econometrics
- MGMT 36033 Business Analytics I
- MGMT 46033 Business Analytics II
- MTH 32400 Theory of Financial Mathematics I
- MTH 32500 Theory of Financial Mathematics II
- MTH 32600 Models for Financial Economics
- MTH 48000 Mathematics Internship