QS Rank:

312

North Carolina State University, Raleigh

North Carolina
,United States

Program Name
Masters in Computer Science (Data Science)
Overview

The Master of Computer Science (Data Science) program at North Carolina State University, Raleigh is a highly regarded educational pathway designed to equip students with the essential skills and knowledge required to excel in the rapidly evolving field of data science. This premier program focuses on equipping students with the theoretical foundations alongside practical applications in data analysis, machine learning, data visualization, and big data technologies. Students will delve into the intricacies of statistical modeling, predictive analytics, and real-world data challenges, preparing them for impactful careers in multiple sectors including finance, healthcare, technology, and beyond.
The curriculum is meticulously structured to cover critical topics that are at the forefront of data science. Core courses include Data Mining, Machine Learning, Statistical Methods for Data Science, and Data Visualization, among others. Students will engage in hands-on projects that involve the use of cutting-edge software and tools, such as Python, R, SQL, and Apache Spark. Additionally, elective courses allow for customization of the learning experience, enabling students to tailor their studies to meet specific career goals or interests in areas like artificial intelligence, natural language processing, or big data analytics.
Faculty expertise at North Carolina State University is another hallmark of this program. The instructors come from diverse backgrounds, including academia and industry, bringing a wealth of knowledge and experience to the classroom. Faculty members actively engage in research and are deeply committed to student success, often providing mentorship and guidance throughout the program. Their teaching methodology emphasizes collaboration, problem-solving, and critical thinking, ensuring that students not only learn theoretical concepts but also apply them effectively in real-world scenarios.
Research opportunities are abundant within the program, as students are encouraged to participate in ongoing departmental projects and initiatives. The university boasts state-of-the-art research facilities and partnerships with various organizations, allowing students to conduct significant research that contributes to the advancement of knowledge in the field. Students may also have opportunities to publish their findings in academic journals, present at conferences, and collaborate with industry professionals, thereby gaining invaluable insights and exposure to current trends and technologies.
Industry connections are a key feature of the Master of Computer Science (Data Science) program. The university's location in Raleigh, part of the Research Triangle, provides students with unparalleled access to a robust job market and numerous internship opportunities. Networking events, job fairs, and partnerships with local companies facilitate direct interactions between students and potential employers. This enhances students' chances of securing internships and job placements, with many graduates landing positions at renowned tech firms, financial institutions, and healthcare organizations shortly after graduation.
Alumni success stories further illustrate the program's effectiveness and the transformative impact it has on students' careers. Graduates have gone on to work with leading companies such as IBM, Google, and Duke Energy, where they excel in various roles including data analysts, machine learning engineers, and data scientists. Testimonials from alumni frequently highlight the comprehensive education they received and how it equipped them to tackle complex problems in their professional roles.
Unique features of the Master of Computer Science (Data Science) program include its interdisciplinary approach, combining insights from computer science, statistics, and domain-specific knowledge to create well-rounded graduates. The program also emphasizes ethical considerations in data science, preparing students to navigate the complex societal implications of their work. Additionally, the program's flexibility accommodates both full-time and part-time students, making it accessible to a wider range of individuals, including working professionals seeking to advance their careers.
Why Study Computer Science (Data Science) at North Carolina State University?
- A strong emphasis on practical, hands-on learning through project-based assignments and collaborative work.
- Access to state-of-the-art research facilities and resources, enabling cutting-edge research and innovation.
- Opportunities to engage with leading industry professionals through networking events and internships.
- A supportive and diverse community, fostering a vibrant learning environment for international students.
- Comprehensive career support services that assist students in securing internships and job placements after graduation.
To be eligible for the Master of Computer Science (Data Science) program, applicants must hold a bachelor's degree in a related field, such as computer science, engineering, mathematics, or statistics. Additional requirements include a completed application, an application fee of $85, and proof of English proficiency through tests such as IELTS (minimum score of 8.0) or TOEFL (minimum score of 106).
In conclusion, the Master of Computer Science (Data Science) program at North Carolina State University, Raleigh stands out as a leading choice for aspiring data scientists. With its rigorous curriculum, expert faculty, extensive research opportunities, and strong connections to industry, this program provides a comprehensive educational experience that empowers students to succeed in the field of data science. Whether you’re looking to enhance your technical skills or advance your career, this program offers the resources and support necessary for your success.

Duration
18 Months
Ranking
#72
US World and News Report
#312
QS World University Rankings
Class Profile
Diversity
Others:
11%Tennessee:
5%South Carolina:
8%North Carolina:
48%Virginia:
11%Georgia:
6%Eligibility Criteria
English Proficiency Tests
IELTS
8
TOEFL
106
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 85
Application Deadlines
Fees and Funding

Tuition Fees
$33,790 / year
FAQs
To be eligible for the Master of Computer Science (Data Science) program, applicants must meet the following requirements:
- Hold a bachelor's degree in a related field such as computer science, engineering, mathematics, or statistics.
- Complete an application for the program.
- Pay an application fee of $85.
- Provide proof of English proficiency through standardized tests, such as IELTS with a minimum score of 8.0 or TOEFL with a minimum score of 106.
The curriculum is meticulously structured to cover critical topics in data science. Core courses include:
- Data Mining
- Machine Learning
- Statistical Methods for Data Science
- Data Visualization
Students also engage in hands-on projects utilizing cutting-edge software and tools such as Python, R, SQL, and Apache Spark. Additionally, elective courses allow students to customize their learning experience based on specific career goals or interests, including areas like artificial intelligence and big data analytics.
The teaching methodology in the Master of Computer Science (Data Science) program emphasizes:
- Collaboration
- Problem-solving
- Critical thinking
Faculty members, who have diverse backgrounds in academia and industry, actively engage in research and are committed to student success. This approach ensures that students not only learn theoretical concepts but also apply them effectively in real-world scenarios through practical, hands-on learning experiences.
Graduates of the Master of Computer Science (Data Science) program find themselves well-prepared for impactful careers in various sectors, including:
- Finance
- Healthcare
- Technology
Many alumni have secured positions at leading companies such as IBM, Google, and Duke Energy, working in roles like data analysts, machine learning engineers, and data scientists. The program also provides strong career support services that assist students in securing internships and job placements.
The Master of Computer Science (Data Science) program stands out due to its:
- Interdisciplinary approach, combining insights from computer science, statistics, and domain-specific knowledge.
- Emphasis on ethical considerations in data science, preparing students to navigate societal implications of their work.
- Flexibility that accommodates both full-time and part-time students, making it accessible to working professionals.
The program offers numerous networking opportunities through:
- Access to a robust job market in Raleigh, part of the Research Triangle.
- Networking events and job fairs that facilitate direct interactions between students and potential employers.
- Partnerships with local companies that enhance internship opportunities.
Such connections significantly boost students' chances of securing internships and job placements.
Students in the program are encouraged to participate in ongoing departmental projects and initiatives. They have access to:
- State-of-the-art research facilities
- Partnerships with various organizations for conducting significant research
Additionally, students may have opportunities to publish their findings in academic journals, present at conferences, and collaborate with industry professionals, enhancing their insights into current trends and technologies.
Choosing NC State for your Master of Computer Science (Data Science) program offers several advantages:
- A strong emphasis on practical, hands-on learning through project-based assignments.
- Access to state-of-the-art research facilities and resources.
- Opportunities to engage with leading industry professionals through networking events and internships.
- A supportive and diverse community that fosters a vibrant learning environment.
- Comprehensive career support services to assist in securing internships and job placements.
Ready to elevate your study abroad journey?
Book a call with us now and take the first step towards your global future!