Data Science: Quantum Computing

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Bachelor of Science in Data Science: Quantum Computing

Top 5 Reasons to Study

01

Gain the knowledge, skills, and confidence to address challenges in fields where classical computers fall short, including cryptography, drug discovery, logistics, finance, and machine learning.

02

Move beyond the bit! Learn to encode and represent information as quantum states to transform real-world challenges into forms that quantum hardware can process.

03

Learn to extract solutions from quantum systems using quantum algorithms, circuit design, and hybrid quantum-classical methods to factor numbers, search data, simulate molecules, optimize complex systems, and tackle other hard problems.

04

Build quantum and hybrid computing solutions that accelerate discovery and decision-making. These include quantum machine learning models, optimization engines, molecular and materials simulations, and secure communication systems.

05

Solve critical scientific and societal challenges by accelerating discovery, strengthening cryptographic systems, optimizing supply chains and energy grids, and advancing artificial intelligence.

Core
Skills

Design, simulate, and visualize quantum circuits using quantum programming frameworks such as Qiskit.
Acquire various methods for encoding, processing, and measuring information on quantum systems, including gate-based quantum computers, quantum annealers, and cloud-accessible quantum hardware.
Apply quantum and hybrid quantum-classical algorithms to gain meaningful insights and address real-world challenges in optimization, machine learning, cryptography, and scientific simulation.

Sample
Jobs

Quantum Software Developer
Data Scientist (Quantum-Focused)
Quantum Software Engineer
Research in Qubits, Control, Error Correction, Algorithms, Security, Cryogenics, and Microwaves

Successful Career Outcomes

$112,590 Median Annual Salary (Bureau of Labor Statistics)

34% 10-Year Growth Expected

Top
Employment
Industries

Finance and Banking: Optimizing investment portfolios, modeling risk, and detecting fraud.
Pharmaceuticals and Healthcare: Accelerating drug discovery and simulating molecules and chemical reactions.
Cybersecurity and Cryptography: Developing quantum-safe encryption and securing sensitive communications.
Materials Science and Chemistry: Simulating new materials and molecular structures for energy, manufacturing, and R&D.
Logistics and Supply Chain: Solving complex optimization problems in routing, scheduling, and resource allocation.

Brag
Points

Study with the best: Data Science graduates at MSU had an average incoming ACT score of 29
Our students have access to Ptolemy, a 64 GPU NVIDIA system dedicated to academic use
38% of our Data Science students participate in the Shackouls Honors College

Experiential Learning Opportunities

Capstone Project: As a student, you will participate in a two-semester capstone experience where you will be matched with a geoscience faculty mentor and pursue a meaningful project.

Data Science Academic Institute: Our undergraduate researchers work on faculty projects in diverse subject areas that include quantum data and algorithms.

Our data science students take five hands-on labs that use real data; this builds career-relevant experiential learning directly into your coursework.