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Internship Nba Computer Science Jobs (NOW HIRING)

This internship aims to help students develop both technical and softskills, preparing them to become successful job seekers and employees in thetech field.

They are seeking a Senior Engineer to join the NBA 2K team, focusing on server-side development to ... Computer Science or equivalent experience in large-scale software development • Experience ...

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Internship Nba Computer Science information

What is an NBA Computer Science internship?

An NBA Computer Science internship is a temporary position offered by the National Basketball Association (NBA) or its affiliated teams and organizations to students or recent graduates pursuing a degree in computer science or a related field. Interns typically work on projects involving software development, data analysis, and technology solutions that support basketball operations, fan engagement, or business analytics. These internships provide hands-on experience in applying computer science skills to real-world sports industry challenges and may involve working with big data, machine learning, or developing digital products. Interns often collaborate with professionals in IT, analytics, and basketball operations, gaining valuable insights and networking opportunities within the sports and technology sectors.

What types of projects can I expect to work on during an NBA Computer Science internship?

As an NBA Computer Science intern, you'll typically be involved in projects that support data analysis, software development, or technology integration for basketball operations, fan engagement, or business analytics. You may collaborate with data scientists, software engineers, and business analysts to develop tools, analyze large datasets, or improve internal systems. The NBA values innovation, so you might also work on pilot programs using emerging technologies. This collaborative environment provides valuable exposure to real-world applications of computer science in the sports industry.

What is the difference between Internship Nba Computer Science vs Data Analyst?

AspectInternship Nba Computer ScienceData Analyst
Required CredentialsRelevant coursework, basic programming skillsDegree in statistics, data science, or related field
Work EnvironmentSports industry, tech teams, NBA officesVarious industries, corporate offices, data teams
Employer & Industry UsageNBA teams, sports tech companiesBusinesses across sectors like finance, marketing, sports
Common Search & ComparisonInternship opportunities, sports tech rolesData analysis roles, business intelligence

Internship Nba Computer Science focuses on gaining experience in sports tech and programming within the NBA environment, often requiring basic coding skills and a passion for sports. Data Analysts analyze data to inform business decisions across industries. While both roles involve data and technical skills, internships are entry-level and industry-specific, whereas Data Analysts work across various sectors with more specialized data analysis expertise.

Does the NBA offer internships?

The NBA offers internships in various departments such as basketball operations, marketing, and technology, including roles related to computer science. These internships typically provide hands-on experience and may require applicants to be enrolled in or recent graduates of relevant programs, with opportunities often available during the summer season.

Which internship is best for a computer science student?

The best internship for a computer science student depends on their interests and career goals, but opportunities at technology companies, sports organizations, or research institutions often provide valuable experience. Look for internships that offer hands-on projects, mentorship, and exposure to relevant tools like programming languages, data analysis, or software development environments. Gaining practical skills and networking can significantly enhance future job prospects in the field.

What cities are hiring for Internship Nba Computer Science jobs?

Cities with the most Internship Nba Computer Science job openings:

What are the most commonly searched types of Nba Computer Science jobs?

The most popular types of Nba Computer Science jobs are:

What states have the most Internship Nba Computer Science jobs?

States with the most job openings for Internship Nba Computer Science jobs include:

Infographic showing various Internship Nba Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Internship -Computer Science Related Major (IBM Planning Analytics)

Application Consulting Group

Parsippany, NJ • On-site

$25/hr

Part-time

Re-posted 9 days ago


Job description

At ACG, we believe meaningful career growth starts with real-world experience. As an intern, you'll gain hands-on exposure to IBM Business Analytics technologies while learning to design and implement solutions that help organizations make smarter business decisions. You'll collaborate with seasoned consultants and IT professionals who specialize in building and supporting enterprise-grade systems. Technologies you may work with include IBM Planning Analytics (TM1), MCP Severs, LLMs, Python, Rest APIs, relational data stores.
This internship runs for four weeks, approximately 24 hours per week, with flexible scheduling and remote participation. The program is designed to introduce participants to the IBM Cognos Planning Analytics technology stack and related technologies. Those who complete the internship will be considered for future hybrid full-time opportunities based in Parsippany, NJ. The position pays $25 per hour during the program.
Qualifications
We're seeking candidates completing their undergraduate degree by December 2025, or recent graduates. Preferred majors include Computer Science, Management Information Systems, or Finance/Business with programming experience. A background or strong interest in business finance is highly valued.
Ideal candidates will demonstrate knowledge of programming concepts and familiarity with one or more languages such as Java, C, or Python. Experience with relational database querying is also preferred. Strong communication skills and a genuine interest in applying technology to solve business challenges are essential.