Data Science Major or Minor
Data Science at Carroll College
Carroll's Bachelor’s in Data Science program blends the fields of mathematics, computer science, statistics, and business analytics to provide a unique and integrated learning experience. You will take courses that teach you to gather, wrangle, and visualize data; make predictions based off of past behaviors with machine learning; and deal with the massive data sets of today. As a data science major, your coursework will be a blend of computer science, mathematics and statistics, and data science.
Our data science degree can help you build your communication skills as you present your course assignments individually and in teams, both in writing and through oral presentations. You can practice what you learn in the classroom by participating in competitions like the Montana Mathematical Modeling Contest (MMMC), or the international Mathematical Contest in Modeling (MCM) and its sister, the Interdisciplinary Contest in Modeling (ICM). These fun and intense competitions provide great opportunities for you to test your knowledge and ability to solve real world problems.
In recent decades there has been an explosion in both the generation of and the analysis of data. Data science is a rapidly growing field where you will be asked to draw from skill sets ranging across many disciplines to analyze large and complicated data sets. Our Data Science degree gives students this exact background along with the applied and practical experience to get you ready for modern industry-scale data science problems. There isn’t any industry that Data Science hasn’t impacted in the past years, and Carroll’s liberal arts focus will give you a well-rounded and deep education that prepares you to jump in to your chosen industry.
At Carroll, our Data Science major focuses on blending the statistical, mathematical, and computational skills needed to succeed as a data scientist or analyst. Our small class sizes will guarantee that you have individualized attention and that your professors will be partners in your education. We are passionate about the work we do; we will get to know you as freshmen and will work with you to achieve your individual goals.
Courses and Student Learning Objectives
Through a blend of math, computer science, data, philosophy, and physics courses, our data science students will be prepared to:
- Use mathematics, statistics, data analysis, and computer science to solve and analyze real-world data science problems.
- Demonstrate the ability to: create and use computer programs to solve real-world problems, apply data science tools in a variety of contexts, create models using appropriate statistical methods, and analyze statistical and computational models in applied settings.
- Communicate their data science work in a clear and effective manner.
- Demonstrate the ability to solve mathematical, statistical, data science, and computational problems using appropriate technology.
To earn a Bachelor of Arts degree with a major in data science, a student must earn a grade of “C-” or better in all required courses. A lesser grade in any of these courses must be replaced before the Bachelor of Arts degree with a major in data science will be granted. In addition, lesser grades in any of these courses preclude taking subsequent courses for which the deficient courses are prerequisite.
Professional Educational Outcomes
The professional educational objectives of the Data Science program are to produce graduates who have:
- The specialized knowledge and skills necessary for initiation into their chosen profession;
- A broad range of skills necessary for effective communication;
- An appreciation for the interrelationships among the branches of knowledge; and
- The ethical, social, and aesthetic perspectives necessary for value-based judgment and decision making.
During the first year pilot of our Data Science program, we already had three students placed into machine learning, data science, and forecasting internships.
According to glassdoor.com, data scientist was the #1 best job in America in 2018.
According to the 2017 Emerging Jobs Report compiled by LinkedIn, data scientist jobs have grown by more than 650 percent since 2012. A survey showed the average salary for a well-trained data scientist is $121,000.
Frequently Asked Questions
The need for data scientists is projected by the Bureau of Labor Statistics to grow
by more than 25% over the next several years, and a Data Science degree from Carroll positions you well to take advantage of that growth in whichever industry you choose.
A degree in Data Science from Carroll serves as a preparation for some of the
fastest growing jobs as defined by the Bureau of Labor and Statistics:
- Business Analyst
- Data Analyst
- Operations Research Analyst
even laid out a schedule to help you with which classes you need to take and when: Data Science 4-Year Plan
There are plenty of options for financial aid available to you, whether it’s scholarships and grants or federal and private loans. Take a look at which may be right for you on our Financial Aid page. The earlier you begin the financial aid application and submit everything needed, the better. Here are a few important deadlines for you to keep in mind:
- October 1: Begin submitting 2019-2020 FAFSA
- December 1: Priority deadline for need-based Carroll financial aid (FAFSA must be submitted for priority consideration)
- January: 2019-2020 Financial Aid Offers available (new, accepted students with FAFSA results on file with the Financial Aid Office)
- June 1: Begin acceptance and processing of applications for 2019-2020 private education loans (Parent PLUS or other private loan.)
This may seem like an intimidating part of the process, but that’s why we’re here to help. Our supportive financial aid advisors will help you navigate the process from start to finish. You can contact us with any questions you may have along the way at (406) 447-5425 or (800) 992-3648, Ext. 5425, as well as firstname.lastname@example.org.