Quantum Computing Program

Our programs are open to students from a wide range of backgrounds, including physics, computer science, mathematics, and engineering.

Our Graduate Certificate 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 Graduate Certificate in Quantum Computing is designed for professionals seeking to enhance their knowledge and skills in the growing field of quantum computing. The program provides a flexible and accessible path for continuing education, with a focus on foundational knowledge as well as practical applications of quantum computing in industry.

Upon completion of the program, students will have a solid understanding of the basic principles and applications of quantum computing, and be well-prepared for careers in a wide range of industries, as well as for further studies in advanced programs in quantum computing and related fields.

Educational Objectives

The Graduate Certificate in Quantum Computing program aims to help students to:

  1. Understand the mathematical principles of quantum mechanics, including linear algebra and computational complexity theory.
  2. Understand the principles of quantum algorithms and their implementation on quantum computing platforms.
  3. Work on practical applications of quantum computing and understand their advantages and limitations.
  4. Simulate quantum computers using languages such as Qiskit, Cirq, and Braket.

Program Learning Outcomes

After completing this program, students should:

  1. Understand the fundamental of mathematical principles of quantum computing, including linear algebra and computational complexity theory.
  2. Understand the fundamental principles of quantum algorithms and their implementation on quantum computing platforms.
  3. Work on practical applications of quantum computing and understand their advantages and limitations.
  4. Program and simulate quantum computers using languages such as Qiskit, Cirq, and Braket.

Admissions Requirement

  • Applicants are required to have completed undergraduate courses in related fields such as physics, mathematics, computer science, or engineering.
  • Applicants are required to have a minimum undergraduate GPA of 2.5 to be considered for admission.

Graduation Requirement

Candidates are required to pass all courses with a grade of B minus or higher to complete the certificate.

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.

Faculty Highlights

Meet our distinguished faculty members who are leading experts in their respective fields

Dr. John Doe

Expert in quantum algorithms and computational complexity.

Dr. John Doe

Expert in quantum algorithms and computational complexity.

Dr. John Doe

Expert in quantum algorithms and computational complexity.