Master program in Quantum Computing program aims to provide a comprehensive education in the fundamentals and practical applications of quantum computing. The blend of theoretical instruction and hands-on experience ensures a strong foundation, enabling graduates to tackle real-world problems and contribute to the development of quantum computing systems.

  • Program Purpose
  • Educational Objectives
  • Program Learning Outcomes
  • Admissions Requirement
  • Graduation Requirement
  • Curriculum Overview
  • Tuition & Fees
  • Career opportunities
  • Testimonials from alumni

Program Purpose

The Master of Science in Quantum Computing program seeks to provide students with a comprehensive education in the principles and applications of quantum computing. Through a combination of theoretical and hands-on coursework, students will develop a strong foundation in quantum mechanics, computer science, and mathematics, and learn how to apply these principles to the design and analysis of quantum computing systems.

Educational Objectives

The Master of Science in Quantum Computing program aims to:

  1. Students will develop a strong foundation in the mathematical principles of quantum mechanics, including linear algebra and probability theory.
  2. Students will develop a strong foundation in the principles of quantum algorithms and their implementation on quantum hardware, to gain fluency in statistical programming languages and big data tools through coursework, projects and applied research.
  3. Students will be able to implement practical applications of quantum computing and analyze their advantages and limitations, as well as to program and simulate quantum computers using languages such as Qiskit, Cirq, and Bracket.

Program Learning Outcomes

After completing this program, students should:

  1. Students will develop a strong foundation in the mathematical principles of quantum mechanics, including linear algebra and probability theory. 
  2. Students will develop a strong foundation in the principles of quantum algorithms and their implementation on quantum hardware, to gain fluency in statistical programming languages and big data tools through coursework, projects and applied research. 
  3. Students will be able to implement practical applications of quantum computing and analyze their advantages and limitations, as well as to program and simulate quantum computers using languages such as Qiskit, Cirq, and Bracket.

Admissions Requirement

Institutional-wide Admission Criteria

  • Completion of undergraduate degree
  • Official Transcript: allow for evaluation of academic performance, relevant coursework, and overall readiness for college-level study.
  • Personal Statement: helps reviewers understand the applicant’s motivations and aspirations to pursue the program of study.
  • CV: presents the academic and professional history of the applicant
  • Letters of Recommendation: Letters of recommendation from teachers, mentors, or professionals familiar with the applicant’s abilities and potential, and additional insights into the applicant’s character, work ethic, and potential for success in the program.

Program-specific Criteria

  • All applicants to the MS in Quantum Computing should have an undergraduate degree in related fields such as physics, mathematics, computer science, or engineering.
  • Applicants are required to have a minimum undergraduate GPA of 2.7 to be considered for admission.

Graduation Requirement

  • Successful completion of the curriculum with a grade point average of no less than B minus (2.7).
  • Take at least 50% of required credits from Northern University.
  • Complete the MS degree within 4 years of matriculation to the program.
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