MSIT - Information Technology Analytics
Capella University's Master of Science in Information Technology with a specialization in Information Technology Analytics program is designed to help students further expand their data analytics and data-based decision-making skills. Read more about this online program here.
Official Program Name:
Master of Science in Information Technology with a specialization in Information Technology Analytics
School Offering Program:
It is helpful for potential students of this program to have an academic background in information technology, data management, or a similar area, and to display above-average analytical and decision-making skills. Applicants to Capella University's graduate programs should have a bachelor's degree; some programs may have additional requirements.
Students of Capella University's Master of Science in Information Technology with a specialization in Information Technology Analytics program are given the opportunity to learn about and apply fundamental and advanced knowledge and skills in data management. Specialization courses focus on database methodologies, data warehouse applications, data collaboration and statistical methods, and visual data design and presentation. The program's core curriculum addresses IT system trends, network security, database development, project management principles, and emerging technologies. In a two-part capstone, students work in teams to discuss and provide a solution for a current IT problem of their choosing.
Financial Aid Available:
Eligible students could be able to receive financial aid in the forms of grants, loans, and scholarships. Contact Capella University's financial aid office for more information.
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 Information Technology with a specialization in Information Technology Analytics:
Students of this program must complete a total of 12 courses: five core courses totaling 20 credits and seven courses for 28 credits. Degree program and course requirements are subject to change. Contact Capella University to confirm the most accurate information before enrolling in a program.
Core Courses (20 credits)
- Information Technology and System Trends
- Security and Enterprise Networks
- Database and Application Development
- Emerging Technologies
- Project Management Fundamentals
Information Technology Analytics Specialization Courses (28 credits)
- Foundations in Analytics
- Data Sources for Analytics
- Statistical Methods in Analytics
- Visual Analytics
- Predictive Models and Classification Methods
- Applied Information Technology Project 1
- Applied Information Technology Project 2
Furthering Your Education:
Earning the Master of Science degree in Information Technology - IT Analytics could help graduates advance in their current position or seek upper managerial responsibilities; however, those who intend to pursue academic or research positions might seek a doctoral degree. Doctorate degree programs could delve deeper into analytical theories and processes and such a degree would typically be required for administrative or directorial responsibilities for universities, research institutions, or possibly technical consulting firms.
Doctoral degrees graduates might be prepared to pursue include, but are not limited to:
- PhD in Data Science
- PhD in Computer Science
- Doctor of Information Technology
- PhD in Information Technology
After being awarded the MS degree in Information Technology - Information Technology Analytics, graduates might qualify for career advancement opportunities in corporate IT departments, data management companies, or technical consulting firms. They might oversee areas of data mining, warehousing, modeling, resourcing, or analysis.
Career titles best suitable to graduates of this program include:
- Data analyst
- Data architect
- Systems analyst
- Solutions architect
- Director of information technology
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