Florida Polytechnic University
Master of Science in Data Science
Lakeland, USA
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
USD 8,506 / per credit *
STUDY FORMAT
On-Campus
* for Florida resident students | for non-Florida resident and international students: $19,998
Fast-track counseling
By contacting the school, you'll get access to free priority counselling for any study and application questions.
Key Summary
Pursuing a career in data science is one of the best choices a student can make. Data science was named the fastest-growing job in 2017 by LinkedIn, and in 2018 Glassdoor ranked data scientist as the best job in the United States. According to a recent study by PricewaterhouseCoopers, “The best jobs right now in America include titles like data scientist, data engineer, and business analyst.”
Program Highlights
The M.S. in Data Science program helps students identify and formulate key business challenges, collect and manage data from a variety of sources, select effective analytical techniques to identify solutions and communicate results clearly and creatively, harnessing the power of data in decision-making. Students interested in the master's in data science may choose from two different pathways:
- One-Year Accelerated, Coursework Only Pathway: Students may complete their full 30 credit hour master’s degree in one academic year, or three total semesters – Fall, Spring, and Summer.
- Two-Year Thesis Pathway: With a heavy emphasis on research in your chosen area of study, the two-year thesis pathway of our graduate program is designed for students with an area of interest that can benefit from extensive study both inside the classroom and out.
Graduate Scholarships
Students pursuing the course-only path in a graduate program can earn up to an $8,000 scholarship each year. No additional application is required – but admissions applications are due by July 15th for consideration
Full Scholarship Graduate Assistantships
Students pursuing the 2-year thesis program can secure a Graduate Assistantship which includes a full tuition scholarship plus a $4000 stipend per term. These are highly competitive and limited in number. No additional application required. Admitted students are automatically reviewed by faculty for these awards.
Plan of Study: Course-Only Pathway
Fall 1
- COP 5090 - Scientific Computation and Programming (Credits: 3)
- CAP 5771 - Data Mining & Text Mining (Credits: 3)
- CAP 5765 - Computational Data Analysis (Credits: 3)
- Elective
Spring 1
- CAP 5320 - Data Wrangling and Exploratory Data Analysis (Credits: 3)
- ESI 5315 - Optimization and Simulation (Credits: 3)
- Elective
- Elective
Summer 1
- CAP 5735 - Data Visualization and Reproducible Research (Credits: 3)
- Elective
Plan of Study: Thesis Pathway
Fall 1
- COP 5090 - Scientific Computation and Programming (Credits: 3)
- CAP 5771 - Data Mining & Text Mining (Credits: 3)
- CAP 5765 - Computational Data Analysis (Credits: 3)
Spring 1
- CAP 5320 - Data Wrangling and Exploratory Data Analysis (Credits: 3)
- ESI 5315 - Optimization and Simulation (Credits: 3)
- Elective
Fall 2
- IDS 5970 - Thesis 1 (Credits: 3)
- Elective
- CAP 5735 - Data Visualization and Reproducible Research (Credits: 3) (or departmentally approved substitution)
Spring 2
- IDS 5975 - Thesis 2 (Credits: 3)
Completion of the Master of Science in Data Science will help students identify and formulate key business challenges, collect and manage data from a variety of sources, select effective analytical techniques to identify solutions and communicate results clearly and creatively, harnessing the power of data in decision-making. Data scientists are in high demand in a wide range of industries, including information technology, finance, healthcare, insurance, energy, transportation, manufacturing, telecommunications, and more.
Upon completion of the Master of Science in Data Science, students are expected to demonstrate the following outcomes:
- Demonstrate mastery in analyzing complex problems and applying knowledge of data science to formulate solutions.
- Communicate data science information clearly and effectively through presentations and technical writings to both expert and non-expert audiences.
- Demonstrate critical evaluation of recent research literature.
- Identify a novel relevant research problem in a chosen data science research field, perform the literature survey for the problem, create a plan to solve the problem, carry on the plan, and defend the research.
- Recognize appropriate practices in the field of data science and their ethical implications.
Data scientists are in high demand in a wide range of industries, including information technology, finance, healthcare, insurance, energy, transportation, manufacturing, and telecommunications.
Job Growth
Fortune notes that data science has been one of the fastest-growing employment fields, with demand for data scientists growing 650% from 2012 to 2017 alone according to LinkedIn. Demand is expected to remain that way; from 2020 to 2030, the job outlook within the field is projected to grow 22%, according to the U.S. Bureau of Labor Statistics.
Career Paths
Graduates of data science have worked in a variety of different industries, including major software companies, the Department of Defense, finance and insurance organizations, transportation, logistics and distribution industries, marketing and media, and large retail corporations.
Make Your Passion a Career
We're here to give you the resources to land your dream internship, work alongside faculty in groundbreaking research, and develop leadership skills to stand out in the workplace.
Internship Opportunities
Internships are an important part of setting you up for success after college and are a requirement for you to graduate.
Research Opportunities
Conduct research alongside faculty that is improving lives and changing businesses, with impact ranging from the local Lakeland community to the outer reaches of space.
Career Development
We understand the importance of feeling prepared, and we are committed to your success here and beyond. That's why we have resources to support you in your continued career development.