MSTIM in Data Science
The Master of Science in Technology and Innovation Management program with a Data Science specialization prepares students to process and analyze data and turn it into usable information. Continue reading to find out more about this master's degree program.
Official Program Name:
Master of Science in Technology and Innovation Management with a specialization in Data Science
School Offering Program:
Strong analytical, problem-solving, and critical-thinking skills would be beneficial for students considering this Data Science program. Potential applicants may also have some computer knowledge or a background in information technology or computer science. All applicants to Northcentral University's online graduate programs should already possess a bachelor's degree from an accredited institution; some programs may have additional requirements.
Northcentral University's Master of Science in Technology and Innovation Management program with a specialization in Data Science offers students the opportunity to study current statistical and modeling tools and learn how to use them to 'crunch numbers' and turn an organization's data into useable information. Specialization courses cover topics in data mining, data visualization, quantitative measurements, big data analytics, and predictive analysis. In addition, the core courses allow students to study methods for identifying and implementing technology improvements within an organization. The program concludes with a capstone course where students can demonstrate their knowledge through a data science project.
Program Length/Total Credits Required:
Financial Aid Available:
Financial aid is available to qualifying students. Graduate students may apply for Federal Stafford Loans or the Federal Graduate PLUS Loan. Military personnel and veterans may qualify for special assistance or tuition reduction.
Tuition, Financial Aid & Start Dates
Since every student is different, there isn't a "one size fits all" for school information. Start dates and tuition often vary between selected programs, and financial aid opportunities are unique to each student's circumstances. Complete the form to the right to get the most up-to-date and accurate information based on your selected program and circumstances.
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Required Courses for a Master of Science in Technology and Innovation Management with a specialization in Data Science:
Program and course requirements are subject to change. Contact Northcentral University to confirm the most accurate information before enrolling in a program.
Core Requirements (15 credits)
- TIM 5001: Changing Times: Managing Technology & Innovation in the 21st Century
- TIM 5010: Computer Networks & Mobile Computing
- TIM 5020: Databases & Business Intelligence
- TIM 5030: Managing Risk, Security, & Privacy in Information Systems
- TIM 6010: Strategic Management of Technology & Innovation
Data Science Specialization Courses (15 credits)
- TIM 6501: Quantitative Methods for Data Analytics and Business Intelligence
- TIM 6510: Data Visualization
- TIM 6130: Data Mining
- TIM 6520: Inferential Statistics and Predictive Analysis
- TIM 6530: Big Data Integration
Furthering Your Education:
After graduating from this program, students may decide to pursue a higher-level degree in order to gain advanced data analysis skills or to expand their leadership capabilities or general business knowledge. An advanced degree may be beneficial for teaching or research positions. Potential higher-level degrees include but are not limited to:
- Ph.D. in Technology and Innovation Management - Data Science
- Ph.D. in Technology and Innovation Management - Information Systems
- Ph.D. in Data Science
- Doctor of Business Administration - Applied Computer Science
Students who have successfully completed this data science program may be able to seek a variety of careers where they can use their technical and analytical abilities. They could seek positions with organizations that need efficient data organization and protection. Some possible job options include:
- Analytics Manager
- Data Scientist
- Database Administrator
- Information Systems Manager
- Data Analyst
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