Advanced Certificate in
Quantum Computing
Advanced Certificate in
Quantum Computing
Northern Online Learning’s Advanced Certificate in Quantum Computing offers a focused education in the theoretical foundations and practical applications of quantum computing. This program is designed as an entry point into the revolutionary field of quantum computing, enabling students to explore computational breakthroughs that address complex problems with unparalleled efficiency.
Through rigorous instruction and hands-on training, the program equips students with essential skills to engage with real-world quantum computing challenges and contribute meaningfully to this rapidly evolving field. Whether you are looking to enhance your technical knowledge or transition into the quantum computing industry, this program is an ideal starting point.
The one-year program is offered entirely online, providing flexibility for working professionals while maintaining high academic standards.
Northern also offers a two-year Master of Science in Quantum Computing, which builds upon the foundational knowledge gained in the certificate program. While the certificate program emphasizes core principles and essential skills, the Master’s program delves deeper into advanced quantum algorithms, applications, and research.
Students who complete the certificate program have the opportunity to seamlessly transition into the Master’s program, with all credits fully transferable. This ensures a streamlined path for further specialization and career advancement in quantum computing.
Graduates of the Certificate program will:
- Develop a strong understanding of the mathematical principles underpinning quantum computing, including linear algebra and computational complexity theory.
- Gain a foundational knowledge of quantum algorithms and their implementation on quantum computing platforms.
- Work on basic applications of quantum computing while analyzing their advantages and limitations.
- Become familiar with quantum computing platforms such as Qiskit, Cirq, and Amazon Braket.
Graduates are well-positioned to enter the quantum computing industry or pursue doctoral studies. Career paths include:
- Quantum Data Scientist: Developing machine learning algorithms and analyzing datasets with quantum tools.
- Quantum Applications Developer: Creating quantum-based solutions for industries such as finance and telecommunications.
- Quantum Researcher: Advancing knowledge in algorithms, hardware, or novel applications.
- Quantum Software Engineer: Building tools and optimizing algorithms for quantum systems.
- Quantum Hardware Engineer: Designing and improving quantum computing hardware.
- Quantum Cryptographer: Enhancing encryption methods through quantum technologies.
With industries actively incorporating quantum computing and significant investments in the field, the job market is flourishing for skilled professionals.
Admission Requirement and Process
To qualify for admission, applicants must:
- Academic Background: Hold a Bachelor’s or higher in a STEM field with coursework in Calculus, Linear Algebra, and Probability Theory. Prior programming experience is recommended but not required.
- Minimum GPA: 3.0 or higher in the highest earned degree. Applicants below this threshold should strengthen their application with recommendation letters, a strong statement of purpose, or relevant industry experience.
- English Proficiency: Meet one of the following:
- TOEFL (75 iBT), IELTS (6.0), or Duolingo (105).
- Earned a degree from an English-instruction institution.
A complete application package must be submitted per the college’s standard procedures.
Completion Requirements
The Advanced Certificate in Quantum Computing program comprises 5 (or 6) core courses. To successfully complete the program, students must achieve a grade of C or higher in each course.
Curriculum and Course Description
Code Course Title
Course Title
15(18)
Credits: 3
This course offers a high-level overview of quantum computing, covering its history, advantages, challenges, future directions, fundamental principles, and applications. Students will gain hands-on experience solving basic problems using quantum simulators and real quantum computers accessible via the cloud.
Credits: 3*
This course covers essential mathematical concepts in linear algebra and probability theory, providing the foundational tools necessary for understanding quantum computing. This course is prerequisite to QCI402.
Credits: 3
This course provides a rigorous introduction to the mathematical foundations of quantum mechanics and quantum computing, which form the basis for understanding and designing quantum algorithms and quantum information protocols. Students proficient in linear algebra can test out of this course.
Credits: 3
This course introduces the foundational principles of quantum computing, focusing on qubits, quantum gates, and quantum circuits. Students will explore key quantum mechanics concepts essential for understanding quantum computation, including superposition, entanglement, and measurement, providing a solid foundation for further study in the field.
Credits: 3
Expanding on fundamental quantum principles, this course explores quantum entanglement and its applications—key phenomena that distinguish quantum computing from classical computing. Students will examine how entanglement enables quantum information processing and plays a crucial role in quantum algorithms and communication protocols.
Credits: 3
This course introduces the principles of quantum computing and algorithms that leverage the unique properties of quantum mechanics to outperform classical methods in solving complex computational problems. Students will study foundational quantum algorithms, including Deutsch-Jozsa, Simon’s, Grover’s algorithms, as well as advanced algorithms like Shor’s and HHL. Through hands-on practice with tools such as Qiskit, Cirq, or Braket, students will design, simulate, and analyze quantum algorithms, gaining both theoretical knowledge and practical experience.
Credits: 3
This course offers a high-level overview of quantum computing, covering its history, advantages, challenges, future directions, fundamental principles, and applications. Students will gain hands-on experience solving basic problems using quantum simulators and real quantum computers accessible via the cloud.
Credits: 3*
This course covers essential mathematical concepts in linear algebra and probability theory, providing the foundational tools necessary for understanding quantum computing. This course is prerequisite to QCI402.
Credits: 3
This course provides a rigorous introduction to the mathematical foundations of quantum mechanics and quantum computing, which form the basis for understanding and designing quantum algorithms and quantum information protocols. Students proficient in linear algebra can test out of this course.
Credits: 3
This course introduces the foundational principles of quantum computing, focusing on qubits, quantum gates, and quantum circuits. Students will explore key quantum mechanics concepts essential for understanding quantum computation, including superposition, entanglement, and measurement, providing a solid foundation for further study in the field.
Credits: 3
Expanding on fundamental quantum principles, this course explores quantum entanglement and its applications—key phenomena that distinguish quantum computing from classical computing. Students will examine how entanglement enables quantum information processing and plays a crucial role in quantum algorithms and communication protocols.
Credits: 3
This course introduces the principles of quantum computing and algorithms that leverage the unique properties of quantum mechanics to outperform classical methods in solving complex computational problems. Students will study foundational quantum algorithms, including Deutsch-Jozsa, Simon’s, Grover’s algorithms, as well as advanced algorithms like Shor’s and HHL. Through hands-on practice with tools such as Qiskit, Cirq, or Braket, students will design, simulate, and analyze quantum algorithms, gaining both theoretical knowledge and practical experience.
Total Credits Required for Graduation 15 (18)
Frequently Ask Question
The Master of Science (MS) in Quantum Computing program provides a comprehensive education over two to three years, covering both the fundamentals and practical applications of quantum computing. On the other hand, the Advanced Certificate in Quantum Computing is a shorter program that focuses on essential knowledge and practical skills in the field. While both programs offer valuable insights into quantum computing, the MS program provides a more in-depth and extensive study, preparing graduates for advanced roles in the field.
Absolutely! Completing the Advanced Certificate in Quantum Computing offers a great pathway to continue your academic journey in the field. If you wish to further enhance your knowledge and delve deeper into quantum computing, you can seamlessly transition into the MS program. The credits earned during the Certificate program will carry over, allowing you to complete the Master’s program more efficiently and obtain an advanced degree in this groundbreaking field. This flexible option provides you with the opportunity to build upon your expertise and pursue broader career prospects in quantum computing.
Our Quantum Computing program is unique because it’s designed to be accessible, aligned with industry trends, and affordable. We welcome students with backgrounds comparable to a Master’s in engineering, keep our curriculum current with the latest advancements, and offer opportunities for industry certifications. All of this is available at an exceptional value, making a high-quality quantum computing education accessible to everyone.
By providing a thorough understanding of the theoretical foundations and exposing students to practical applications and algorithm development, the program ensures that students are well-prepared to contribute to the field of quantum computing.
The program’s rigorous curriculum, hands-on experience, expert faculty, and exceptional student services will equip you with the necessary skills and knowledge to excel in the quantum computing field and achieve your academic and professional goals.
Frequently Ask Question
The Master of Science (MS) in Quantum Computing program provides a comprehensive education over two to three years, covering both the fundamentals and practical applications of quantum computing. On the other hand, the Advanced Certificate in Quantum Computing is a shorter program that focuses on essential knowledge and practical skills in the field. While both programs offer valuable insights into quantum computing, the MS program provides a more in-depth and extensive study, preparing graduates for advanced roles in the field.
Absolutely! Completing the Advanced Certificate in Quantum Computing offers a great pathway to continue your academic journey in the field. If you wish to further enhance your knowledge and delve deeper into quantum computing, you can seamlessly transition into the MS program. The credits earned during the Certificate program will carry over, allowing you to complete the Master’s program more efficiently and obtain an advanced degree in this groundbreaking field. This flexible option provides you with the opportunity to build upon your expertise and pursue broader career prospects in quantum computing.
Our Quantum Computing program is unique because it’s designed to be accessible, aligned with industry trends, and affordable. We welcome students with backgrounds comparable to a Master’s in engineering, keep our curriculum current with the latest advancements, and offer opportunities for industry certifications. All of this is available at an exceptional value, making a high-quality quantum computing education accessible to everyone.
By providing a thorough understanding of the theoretical foundations and exposing students to practical applications and algorithm development, the program ensures that students are well-prepared to contribute to the field of quantum computing.
The program’s rigorous curriculum, hands-on experience, expert faculty, and exceptional student services will equip you with the necessary skills and knowledge to excel in the quantum computing field and achieve your academic and professional goals.