If you’re someone who understands the power of data in today’s evolving technological world and if you want to establish yourself as a forward thinking, cutting-edge, and dare we say it, irreplaceable technology professional, you should seriously consider experiencing, learning, and specializing in data science. To position yourself as a well-rounded and integral team member you need to consider mastering skills related to data science, as technology and data exist in every industry and in every organization.
Finessing your IT degree with a specialization in data science will give you a competitive edge when you’re working to establish yourself as a relevant thought leader in a variety of industries.
Understanding Marymount's M.S. in Information Technology:
Marymount’s program provides knowledge and skills across the entire range of topics in the industry – systems engineering, decision-making for IT, ethics and law, computer networking, database technologies, IT governance and strategy, Web development, and information assurance.
Marymount’s Information Technology graduate program is 36 credit hours, totaling eight core courses and four elective courses — the four elective courses go towards one of the six IT degree tracks. All graduate IT students complete their program by conducting an applied research project (IT 680 IT Master’s Project) in which they apply their skills to a real-world IT problem.
Customization Options in Marymount's IT Program
Marymount University gives Information Technology students the option of selecting a specific track as part of their degree studies. Each degree track is designed to allow IT students to sharpen their knowledge in one particular area of study. Below are the six degree track options for IT students at MU.
- Data Science *NEW
- Digital Transformation *NEW
- Health Care Informatics
- Project Management and Technology Leadership
- Software Engineering
Exploring the Data Science Specialization:
“Data Science is the biggest growth area in the field of information technology today, and because of this growth, there’s a large talent gap. Data science jobs vary from computer literate data engineers to more mathematically-inclined data scientists. Adding Data Science as a degree track within the Master of Science in Information Technology prepares students to be data engineers in a variety of industries … anyone who has an interest in data will be attracted to this track.” —Dr. Diane Murphy, Department Chair, Professor of Information Management
Data exists in every industry and matters for every organization when it comes to making better business decisions and increasing better results. With this in mind, the IT field is recognizing that the need has grown for professionals who can collect, manage, and analyze this data and then effectively communicate data analysis results to clients. In response to this talent gap in the tech industry, Marymount University launched a Data Science track within the graduate Information Technology program.
Marymount's Data Science degree track is perfect for tech-minded students who do not want to focus heavily on mathematics but who do want to explore the art of collecting, storing, and processing data. In order to obtain the Data Science specialty track, IT students must complete four courses.
- IT 546 Principles of Data Science
- IT 556 Data Visualization
- IT 566 Computer Scripting Techniques
- IT 576 Natural Language Processing OR IT 586 Machine Learning
Data Scientist Careers:
As more industries recognize the need to hire professionals who can uncover findings from data, career roles rooted in data science insights continue to emerge. In fact, the Bureau of Labor Statistics predicts that the field of data science will grow 11 percent by 2024, which is higher than the national average.
Even though the term "data science" has become quite a buzzword, there are many career titles for professionals who work with datasets that don't necessarily include the word "data." With that in mind, consider these job titles for professionals who have a background in data science:
- Data Manager
- Analytics Manager
- Data Architect
- Business Analyst
- Data Engineer
- Database Administrator
- Data Scientist
- Data Ecologist
- Machine Learning Scientist
- Software Programming Analyst
Transform Your Future as a Leader in IT:
As a future leader in the field of technology, it's crucial that you strategically choose a respected graduate program - one that is designed to allow you to customize your degree in order to specialize in a booming discipline like data science.
That's why we'd like to invite you to request more information or attend one of our upcoming in-person or virtual events.