Students
مصاريف
USD 1,059
تاريخ البدء
2027-01-05
وسيلة الدراسة
عبر الإنترنت بالكامل
مدة
30 credits
حقائق البرنامج
تفاصيل البرنامج
درجة
الماجستير
تخصص رئيسي
Data Analytics | Information Systems Management
التخصص
الأعمال والإدارة | علوم الكمبيوتر وتكنولوجيا المعلومات
نوع التعليم
عبر الإنترنت بالكامل
لغة الدورة
إنجليزي
مصاريف
متوسط ​​الرسوم الدراسية الدولية
USD 1,059
دفعات
تاريخ بدء البرنامجآخر موعد للتسجيل
2026-01-05-
2027-01-05-
عن البرنامج

نظرة عامة على البرنامج


Master of Management Information Systems (MMIS)

The Master of Management Information Systems (MMIS) is a master's degree program that builds on knowledge and skills developed in the workplace and undergraduate programs. This program sets students up for success in data and coding disciplines, even if they have a non-technical background.


Program Details

  • Level: Master's Degree
  • Credits required: 30 credits
  • Cost per credit: $1,059
  • Next start date: January 5, 2026

Tailor Your Tech Career

The master's in management information systems program allows students to tailor their tech career by completing two certificates of their choice plus six capstone courses. The certificates completed will give students a unique skillset tailored to their interests, providing a competitive advantage in the workforce.


Choose Your Certificates

The program offers several certificate options, including:


  • Data Technologies: Builds foundation knowledge of database, programming, and analytics skills.
  • Data Analytics: Dives deeper into programming, AI, visualization, and data mining tools to help organizations understand the market and make strategic decisions with data.
  • Data Engineering: Represents one of the fastest-growing sectors of the information economy.
  • Web Development: Understands principles of building a digital experience for websites and applications using insights from data.

Learn from Experts

Students will learn from expert faculty with real-world experience. The Huntsman School of Business, which offers the MMIS program, has a long history of providing high-quality education, having started offering degrees in 1894. The school is also accredited by the Association to Advance Collegiate Schools of Business (AACSB) International.


Faculty

  • Chris Corcoran: Department Head, Data Analytics + Information Systems, & David B. Haight Endowed Professor of Analytics
  • Kelly Fadel: Professor, Project Mentor for the Analytics Solutions Center

Student Feedback

The program strives to create a community where co-curricular experiences strengthen and broaden student learning inside and outside of the classroom. Students have praised the program for its helpful and encouraging professors, as well as its ability to provide them with the skills needed to succeed in their careers.


Student Testimonials

  • "Learning how to manage and analyze data will greatly improve my experience getting my PhD, as I am better equipped to do research and analyze the results of studies with the skills I learned."
  • "Due to hard and soft skills learned in the MMIS program and experience with the Business Intelligence Group at USU, I was able to land a fantastic internship with Koch Industries working as a Data Science / Business Intelligence Intern."

Career Outlook

With an MMIS degree, students will have many doors open to new and exciting opportunities spanning many different industries. Graduates of the MMIS program have a 100% job placement rate upon graduation.


Skills You'll Learn

Students will learn a variety of skills, including:


  • Excel
  • Presentations
  • SQL
  • Python
  • Tableau Desktop Specialist
  • AWS Certified Data Analytics

Potential Employers

The program does not specify particular employers, but graduates can expect to find opportunities in various industries.


Curriculum

The program courses focus on improving leadership skills and personal performance. Some of the courses include:


DATA 6330 - Data Pipeline Engineering

This course explores the design and engineering of effectively structured data ecosystems. Using programming tools, students develop efficient and effective dataflows to ensure quality data are available to meet critical data analysis requirements.


DATA 6360 - Data Warehousing

This course introduces the process of creating and populating data warehouses for enterprise-level decision making. Topics include data consolidation from operational SQL databases via ETL process, database schema design and implementation, and various report generation.


DATA 6500 - Advanced Python Programming for Analytics

This course covers advanced Python programming principles and analytics applications, including object-oriented programming, sorting, data structures, cloud computing, data mining, and introductory machine learning.


IS 6880 - Digital Forensics

This course provides a foundation in this branch of forensic science, encompassing the legal and technical aspects of the recovery and investigation of deleted and/or hidden data found in computers, smartphones, or even in the cloud, often in relation to computer crime.


Additional Information

Actual program costs may vary due to differential tuition or course fees.


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