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Masters Computer Science Jobs in Detroit, MI (NOW HIRING)

General Motors

Ethernet Systems Architect

Warren, MI · On-site

$228K/yr

Masters degree in Systems Engineering, Computer Engineering, Electrical Engineering, Computer Science, or related discipline. * Advanced knowledge of embedded software infrastructure (for example ...

General Motors

Ethernet Systems Architect

Warren, MI

$228K/yr

Masters degree in Systems Engineering, Computer Engineering, Electrical Engineering, Computer Science, or related discipline. * Advanced knowledge of embedded software infrastructure (for example ...

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All JobsMasters Computer Science JobsMasters Computer Science Jobs in Detroit, MI

Masters Computer Science information

See Detroit, MI salary details

$18.8K

$67.6K

$143.7K

How much do masters computer science jobs pay per year?

As of Jul 22, 2026, the average yearly pay for masters computer science in Detroit, MI is $67,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,981.00 and $92,824.00 per year, depending on experience, location, and employer.

What kind of job can I get with a masters in computer science?

A master's in computer science qualifies you for roles such as software engineer, data scientist, systems analyst, cybersecurity analyst, and machine learning engineer. These positions often require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

What types of projects or responsibilities can I expect when starting a position with a Master's degree in Computer Science?

As a new hire holding a Master's degree in Computer Science, you can expect to work on a variety of challenging projects, such as developing software applications, optimizing algorithms, conducting data analysis, or contributing to research-driven innovation, depending on the specific employer and industry. Your responsibilities might include writing and testing code, collaborating with cross-functional teams, and presenting technical solutions. You may also be involved in system architecture design, troubleshooting technical issues, or implementing new technologies. This role often encourages continuous learning, and you'll have opportunities to expand your expertise while working alongside experienced engineers and project managers.

What are the key skills and qualifications needed to thrive in the Masters Computer Science position, and why are they important?

To succeed with a Master's degree in Computer Science, candidates typically need strong analytical abilities, programming skills in languages such as Python, Java, or C++, and a solid understanding of data structures, algorithms, and software engineering principles. Familiarity with development tools, version control systems like Git, and possibly certifications in areas such as cloud computing or machine learning are commonly valued. Excellent problem-solving, teamwork, and effective communication skills help individuals stand out in both collaborative and independent projects. These competencies enable professionals to develop advanced technological solutions and adapt to rapidly changing industry demands.

How much do CS Masters make?

Salaries for individuals with a master's degree in computer science typically range from $70,000 to $120,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals or those in high-demand areas can earn higher wages, especially with skills in programming, data analysis, or machine learning.

What is a Masters Computer Science job?

A Masters Computer Science job typically requires an advanced degree in computer science or a related field, focusing on specialized areas such as artificial intelligence, data science, cybersecurity, or software development. Professionals in these roles apply their expertise in programming, algorithms, and system design to solve complex problems in industries like technology, healthcare, finance, and research. Common job titles include Software Engineer, Data Scientist, Machine Learning Engineer, and Cybersecurity Analyst. These roles often involve designing and optimizing software, analyzing large datasets, improving security measures, or developing innovative computing solutions. A master's degree can provide deeper knowledge, better job prospects, and higher salaries in the computer science field.

Is it worth doing a master's in CS?

A master's in computer science can enhance technical skills, improve job prospects, and qualify candidates for specialized roles such as software engineer or data scientist. It often leads to higher earning potential and access to advanced projects, but requires significant time and financial investment. The value depends on career goals and industry demand for advanced qualifications.

Which CS has the highest salary?

In computer science, roles such as data scientists, machine learning engineers, and software architects tend to have the highest salaries. These positions often require advanced skills in algorithms, programming, and data analysis, and they are typically found in industries like technology, finance, and consulting.
What are the most commonly searched types of Masters Computer Science jobs in Detroit, MI? The most popular types of Masters Computer Science jobs in Detroit, MI are:
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Masters Computer Science jobs near you
Infographic showing various Masters Computer Science job openings in Detroit, MI as of July 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $67,552 per year, or $32.5 per hour.
Data Science Analyst / Data Scientist

Data Science Analyst / Data Scientist

Resource Point LLC

Detroit, MI • On-site

Contractor

Posted 15 days ago

Job description

Job Title: Senior Data Science Analyst

Location: Detroit, MI

Duration: 6 months contract

Job Description:

Department: Analytics COE

  • Under minimal supervision, responsible for solving complex business cases by understanding problem statements and conditions to generate workable hypotheses and solve by creating data driven models.
  • Develops complex models by utilizing statistical, algorithmic and visualization techniques and provides insights for cross-functional teams.

Required Skills and Experience:

  • Proven experience designing and developing advanced analytics and AI solutions using machine learning and deep learning techniques, including natural language processing (NLP).
  • Hands-on experience working with big data and cloud platforms (AWS preferred, Databricks plus), along with strong software development skills and adherence to best coding practices.
  • Strong communication skills, with the ability to clearly explain technical concepts to project leads and present insights effectively to non-technical audiences. 
  • Programming: Proficient in Python
  • Ability to translate complex business problems into analytical solutions, decompose them into actionable components, and build end-to-end data-driven solutions from the ground up.
  • Experience developing custom NLP applications using deep learning models, including transformer-based architectures (e.g., large language models, or LLMs).
  • Familiarity with rapid prototyping and demo creation using frameworks such as Streamlit.
  • Prior experience in the healthcare industry preferred.

Education/Certifications:

  • Bachelor’s degree in data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical Engineering, Operations Research, or related field is required.
  • Masters in related field is preferred.