
National University

California
,United States

Program Name
Master of Science in Data Science
Overview

Embarking on a journey to acquire a Master of Science in Data Science at National University paves the way for an enriching educational experience that combines rigorous academic training with practical applications. This specialized program, part of the School of Technology and Engineering, is meticulously designed to equip students with advanced skills in data analysis, machine learning, statistical modeling, and data mining. With a structured duration of 14 months, students will delve deep into the world of data science, learning to leverage data for impactful decision-making across various industries. The emphasis on both theory and practical implementation ensures that graduates are not just knowledgeable but also highly adept at navigating real-world challenges in data analytics.
The curriculum of the Master of Science in Data Science is comprehensive and tailored to meet the demands of the contemporary job market. Core courses include Data Mining and Analytics, Machine Learning, and Big Data Technologies, which provide a solid foundation in the essential principles of data science. Additionally, specialized courses such as Data Visualization and Cloud Computing for Data Science empower students with cutting-edge tools and techniques to manipulate and visualize complex datasets. The program also emphasizes hands-on learning through lab sessions, case studies, and projects that require students to apply theoretical knowledge to solve practical problems.
At National University, students are guided by a diverse faculty, comprised of experts with extensive experience in both academia and industry. The teaching methodology employed is student-centered, promoting active learning and collaboration. Faculty members not only impart their knowledge through lectures but also engage students in meaningful discussions, encouraging them to think critically about data-related issues. Moreover, the faculty’s strong network with industry professionals opens doors for students to participate in exciting research projects that contribute to the advancement of data science. This interaction with seasoned experts enhances the learning experience and prepares students for future challenges they may encounter in their careers.
Research opportunities abound at National University, providing students with access to state-of-the-art resources and facilities. Students can engage in groundbreaking research that addresses current trends and challenges in the field of data science. The university's commitment to fostering innovation ensures that students have the chance to work on projects that have real-world implications, often in collaboration with leading companies in the tech sector. This not only enriches their academic experience but also bolsters their resumes, making them attractive candidates for future employers.
Internships and industry connections form a vital part of the educational experience at National University. The university’s strong ties with various organizations in the tech and business sectors enable students to secure internships that provide practical experience and enhance their employability. These internships are invaluable as they allow students to apply their classroom knowledge in real-world settings, gaining insights into the workings of the industry. Upon graduation, students find themselves well-prepared to enter a competitive job market with a wealth of experience and a robust professional network.
The career pathways for graduates of the Master of Science in Data Science are diverse and promising. Alumni have successfully secured roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Analyst, among others. Graduates are in high demand across various sectors, including finance, healthcare, technology, and government. The skills acquired during the program not only make graduates candidates for entry-level positions but also equip them with the knowledge necessary for advancement into leadership roles in the future.
Alumni testimonials highlight the transformative impact of the Data Science program at National University. Many former students credit their success to the comprehensive curriculum and supportive faculty, noting that the program provided them not only with technical skills but also with confidence and a professional mindset necessary for thriving in the fast-paced world of data analytics. Success stories abound, with graduates reporting significant salary increases and job satisfaction as they take on challenging roles that leverage their expertise in data science.
In conclusion, choosing to pursue a Master of Science in Data Science at National University is a decision that promises substantial returns in terms of knowledge, experience, and career opportunities. The unique combination of a robust curriculum, exceptional faculty, abundant research opportunities, and strong industry connections sets this program apart as one of the best choices for aspiring data scientists.
Why Study Data Science at National University
- A popular choice for international students with a diverse community, fostering a rich cultural exchange among peers.
- Learn from leading faculty members who are not only educators but also accomplished researchers and industry practitioners.
- Access to high-end labs and technology that facilitate comprehensive research and practical learning experiences.
- Excellent placement programs, with many students securing jobs before graduation due to strong connections with industry partners.
- A curriculum designed to keep pace with industry trends, ensuring that students are well-prepared for the evolving job market.
For prospective students, it is essential to note the admission requirements for this program. Applicants should hold a bachelor’s degree from an accredited institution and provide proof of English proficiency through standardized tests, such as the IELTS (minimum score of 6.0), PTE (minimum score of 58), or TOEFL (minimum score of 79). Additionally, an application fee of $60 is required to process applications.
In sum, the Master of Science in Data Science at National University is not just an academic program; it is a gateway to a successful career in the thriving field of data science. With its comprehensive curriculum, expert faculty, and strong industry ties, students are poised to make a significant impact in the world of data analytics.

Duration
14 Months
Class Profile
Diversity
Canada:
5%United Kingdom:
4%United States:
10%Others:
46%Australia:
20%New Zealand:
15%Eligibility Criteria
English Proficiency Tests
IELTS
6
PTE
58
TOEFL
79
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: 60
Application Deadlines
Fees and Funding

Tuition Fees
$23,800 / year
FAQs
Applicants to the Master of Science in Data Science program at National University must meet the following requirements:
- Hold a bachelor’s degree from an accredited institution.
- Provide proof of English proficiency through standardized tests, such as:
- IELTS with a minimum score of 6.0
- PTE with a minimum score of 58
- TOEFL with a minimum score of 79
- Pay an application fee of $60 to process their application.
The Master of Science in Data Science program at National University has a structured duration of 14 months. This allows students to immerse themselves in a comprehensive curriculum designed to equip them with essential skills in data science.
The curriculum is comprehensive and includes core courses such as:
- Data Mining and Analytics
- Machine Learning
- Big Data Technologies
In addition to core classes, students can choose specialized courses like:
- Data Visualization
- Cloud Computing for Data Science
The program emphasizes hands-on learning through lab sessions, case studies, and projects, ensuring students can apply their theoretical knowledge to real-world problems.
National University employs a student-centered teaching methodology that promotes active learning and collaboration. Faculty members engage students through:
- Lectures that impart essential knowledge
- Meaningful discussions that encourage critical thinking about data-related issues
This approach fosters a dynamic learning environment, enhancing the overall educational experience.
Graduates of the Master of Science in Data Science program find diverse and promising career pathways. Alumni have secured roles such as:
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Analyst
These roles span various sectors, including finance, healthcare, technology, and government, making graduates highly sought after in the job market.
The program at National University provides ample research opportunities, allowing students to engage in groundbreaking projects that address current trends and challenges in data science. Students have access to:
- State-of-the-art resources and facilities
- Collaboration with leading companies in the tech sector
This hands-on research experience enhances academic learning and significantly bolsters students' resumes.
National University has strong ties with various organizations in the tech and business sectors, which play a vital role in the educational experience. The university facilitates:
- Securing internships that provide practical experience
- Opportunities to apply classroom knowledge in real-world settings
These internships are invaluable for gaining industry insights and enhancing employability upon graduation.
The Master of Science in Data Science program is designed to meet the demands of the contemporary job market. Key preparation elements include:
- A robust curriculum that keeps pace with industry trends
- Hands-on learning experiences through projects and internships
- Access to a strong professional network through faculty and industry connections
These components ensure that graduates are well-equipped to enter a competitive job market.
Alumni testimonials highlight the transformative impact of the program. Many former students credit their success to:
- The comprehensive curriculum
- The supportive faculty
- The development of both technical skills and a professional mindset
Graduates report significant salary increases and job satisfaction, indicating the program's effectiveness in preparing them for successful careers in data science.
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