Nasdaq Campus Program 2027: Paid Six-Month Internship in Bengaluru
Nasdaq has announced its Campus Program for 2027, offering students an opportunity to work on real projects with teams at a global technology company. Based in Bengaluru, Karnataka, the programme runs for six months, from January through June 2027, and is described as a full-time, paid internship.
The programme covers several career paths rather than one fixed job title. Depending on team requirements, opportunities may be available in software development, artificial intelligence and machine learning, quality engineering, data science, data engineering, product management and project management.
For students entering their final year, this programme could provide practical experience before graduation. Nasdaq also states that interns may have an opportunity to continue with the company after completing their degree or master’s programme, although a full-time position is not guaranteed.
Application deadline: October 25, 2026. The deadline is close, so applicants should check the official portal and submit their applications promptly.
Nasdaq Campus Program 2027: Key information
| Detail | Information |
|---|---|
| Company | Nasdaq |
| Programme | Nasdaq Campus Program – 2027 |
| Job requisition ID | R0027122 |
| Location | Bengaluru, Karnataka, India |
| Work arrangement | Full-time |
| Internship period | January–June 2027 |
| Duration | Six months |
| Paid internship | Yes, according to the listing |
| Application deadline | October 25, 2026 |
| Stipend amount | Not disclosed in the supplied description |
| Potential next step | Opportunity to be considered for a role after graduation; not guaranteed |
Who is eligible?
Nasdaq is looking for students entering the final year of a degree in Artificial Intelligence, Computer Science, Information Technology, Data Science, Machine Learning, MBA/PGDM or a related field.
The description also welcomes applicants with familiarity in at least one relevant work area, such as software development, AI/ML, data engineering, data science, quality assurance testing, product management or project management.
One specific point deserves attention: applicants should have exposure to at least three relevant technologies or programming languages. The listing provides examples including:
- Java and JavaScript
- React
- Python
- C and C++
- SQL and HTML
- Tableau and AWS
- Other relevant technologies and programming languages
The list is not presented as a requirement to master every technology. Applicants should identify the technologies they have actually used and be prepared to discuss their level of familiarity.
The supplied description does not specify a minimum CGPA, a particular graduation month, a mandatory prior internship or a fixed stipend amount. Check the application form for any additional requirements.
Which internship tracks are available?
Nasdaq lists several typical roles under the campus programme. The exact team or assignment offered to an applicant may depend on the vacancies available.
Software Development Intern: Suitable for candidates interested in programming, application development and building software features.
AI/ML Intern: Relevant to students interested in artificial intelligence, machine learning and large language models.
Quality Engineering Intern: A potential fit for candidates who enjoy testing, automation, finding defects and improving software reliability.
Data Science Intern: Relevant to applicants interested in analysing data, identifying patterns and producing insights.
Data Engineer Intern: Suited to candidates interested in data processing, data workflows and the systems that make information usable.
Product Management Intern: A path for candidates interested in product requirements, prioritisation and coordination between technical teams and stakeholders.
Project Management Intern: Relevant to applicants who enjoy planning, tracking deliverables, coordinating people and helping teams meet deadlines.
These are the role categories named in the supplied listing, not a guarantee that every track has a separate vacancy available.
Additional interests that may help
Nasdaq identifies several areas that can strengthen a candidate’s fit:
- Artificial intelligence, machine learning and large language models (LLMs)
- Testing and automation
- Capital and financial markets
- Compliance and regulatory topics
These interests are especially useful for students who want to connect technology with the financial-services industry. Applicants do not need to claim expertise in every area; they should focus on the ones that match their education, projects and career goals.
For example, a candidate interested in data science might discuss a project that involved cleaning data and interpreting results. Someone targeting quality engineering could describe how they tested an application and documented defects. A product-management candidate might explain how they gathered requirements and prioritised features for a student project.
How to prepare an application that reflects your skills
Because the programme covers several disciplines, a generic application that lists many technologies without demonstrating their use may not communicate a candidate’s strengths clearly.
A more focused approach is to:
- Choose a primary track. Identify whether software development, AI/ML, testing, data, product or project management best matches your experience.
- Select relevant technologies. Highlight at least three technologies from the listing that you have genuinely studied or used.
- Describe one or two projects. Explain the problem, your contribution, the tools used and the result. Be ready to discuss technical decisions or challenges.
- Show evidence of problem-solving. Use an example of how you investigated a problem, evaluated alternatives or improved an outcome.
- Demonstrate communication skills. Prepare to explain your work clearly and describe how you collaborate, manage priorities and respond to feedback.
Nasdaq specifically values intellectual curiosity, initiative, critical thinking, an entrepreneurial mindset, problem-solving and clear written and verbal communication. Examples from coursework, projects, student organisations or other genuine experience can help demonstrate these qualities.
Internship experience and possible career progression
The programme is designed around hands-on learning. Nasdaq says interns will work alongside senior colleagues on complex projects and across departments, while also receiving mentorship and opportunities for learning and development.
Interns can also build professional connections through global programme activities and social events. These experiences may help students understand how teams work across different functions.
The listing mentions the possibility of staying with Nasdaq after completing a degree or master’s programme. This should be understood as a potential opportunity rather than a promised pre-placement offer or guaranteed full-time conversion.
How to apply for Nasdaq Campus Program 2027
Use the official application link below to review the vacancy, confirm the current status and complete the application.
Apply for Nasdaq Campus Program 2027
- Job ID: R0027122
- Location: Bengaluru, Karnataka
- Deadline: October 25, 2026
- Internship period: January–June 2027
Nasdaq’s official internship programme page also explains its approach to intern learning, project experience and professional development.