Master of Accounting (M.Acc.)
Nova Southeastern University (NSU) offers a prestigious Master of Accounting (M.Acc.) p...
Davie, Florida
INTAKE: Jan & Aug
Nova Southeastern University (NSU) offers an exceptional Master of Science (M.S.) in Data Analytics program designed to equip students with the skills and knowledge needed to thrive in the rapidly evolving field of data analysis. This program, with its STEM designation, emphasizes the critical areas of Science, Technology, Engineering, and Mathematics. Nova Southeastern University's M.S. in Data Analytics program, with its STEM designation, offers a high-quality education that equips students with the analytical and technical skills needed to excel in the data-driven world. Graduates emerge as data experts capable of turning data into actionable insights for informed decision-making.Nova Southeastern University's M.S. in Data Analytics program provides a strong foundation in data science and analytics, enabling graduates to embark on rewarding careers in a variety of industries. With the increasing reliance on data-driven decision-making, professionals in this field are in high demand, making it an excellent choice for those seeking dynamic and impactful careers.
Curriculum:
STEM Designation: The M.S. in Data Analytics program at NSU proudly holds STEM designation, signifying its rigorous focus on Science, Technology, Engineering, and Mathematics. This designation highlights the program's commitment to providing students with a strong foundation in technical and analytical skills.
Cutting-Edge Curriculum: The program features a comprehensive and up-to-date curriculum that covers a wide range of topics in data analytics. Students explore data mining, statistical analysis, machine learning, data visualization, and big data technologies. This holistic approach ensures that graduates are well-prepared to work with diverse data sets.
Hands-On Experience: NSU recognizes the importance of practical experience in data analytics. Therefore, students have opportunities to work on real-world projects, leveraging the latest tools and technologies. These hands-on experiences enhance their problem-solving abilities and data analysis skills.
Faculty Expertise: Students are guided by a dedicated faculty composed of experienced data scientists and experts in the field. Their industry insights and academic mentorship significantly contribute to the program's success in producing skilled data analysts.
Data Ethics and Governance: Ethical considerations are integrated into the curriculum to ensure that graduates understand the importance of responsible data handling and governance. This is crucial in an era where data privacy and security are paramount.
Business Acumen: The program recognizes the need for data analysts to understand business operations. Students learn how to translate data insights into actionable business strategies, making them valuable assets to organizations.
Customizable Tracks: NSU often offers customizable tracks within the program, allowing students to focus on specific areas of data analytics, such as business analytics, healthcare analytics, or cybersecurity analytics. This flexibility caters to individual career goals and interests.
Certification Preparation: The program often includes preparation for industry-recognized certifications such as Certified Analytics Professional (CAP) or related certifications, further enhancing students' professional credibility.
Research Opportunities: NSU encourages research in data analytics, enabling students to engage in cutting-edge research projects. This exposure to research contributes to their analytical and critical thinking abilities.
Career Development: NSU provides robust career development services, including resume building, interview coaching, and access to a broad alumni network. These resources support students in securing internships and job opportunities.
Industry Collaboration: The university fosters collaboration with industry partners, enabling students to work on real business problems and establish valuable connections within the data analytics field.
Global Perspective: The program prepares graduates to analyze data from a global perspective, allowing them to address international data challenges and work in diverse environments.
Davie, Florida
IELTS: 6
USD 34574
Entry Requirements for Postgraduate Programs
Academic Qualifications:
English Language Proficiency:
IELTS: An overall score of at least 6.0 with no individual band score below 6.0 is required.
TOEFL iBT: A minimum overall score of 80 on the Test of English as a Foreign Language (TOEFL) internet-based test is required.
DET (Duolingo English Test): An overall score of 105 or higher on the Duolingo English Test is accepted as proof of English language proficiency.
PTE (Pearson Test of English): A minimum score of 54 on the Pearson Test of English (PTE) is required.
Scholarships for International Students at Nova Southeastern University
International Student Scholarships: NSU offers scholarships specifically for international undergraduate and graduate students based on academic merit and other criteria. These scholarships can significantly reduce the tuition costs for eligible students.
Academic Excellence Scholarships: Exceptional academic achievers may be considered for the Academic Excellence Scholarship, which recognizes outstanding students from around the world. Eligibility is typically based on academic records, standardized test scores, and other criteria.
Diversity and Inclusion Scholarships: NSU values diversity and inclusion. Some scholarships are designed to support students from underrepresented backgrounds or those who have demonstrated a commitment to promoting diversity and inclusion on campus.
Merit-Based Scholarships: Merit-based scholarships are awarded to students who excel in their academic pursuits and demonstrate leadership or community involvement. These scholarships are highly competitive and are usually available for both undergraduate and graduate students.
Graduate Assistantships: Graduate students pursuing master's or doctoral degrees may have the opportunity to apply for graduate assistantships. These positions often include a stipend and may also provide a tuition waiver. Duties typically involve assisting faculty or departments in research, teaching, or administrative tasks.
Athletic Scholarships: NSU offers athletic scholarships for student-athletes who excel in various sports. These scholarships may cover tuition, room and board, and other expenses for student-athletes who compete at the college level.
Donor-Funded Scholarships: NSU benefits from the support of donors who establish scholarship funds. These scholarships may be available to international students based on specific criteria set by the donors.
External Scholarships: NSU encourages international students to explore external scholarship opportunities offered by governments, foundations, and organizations in their home countries or internationally. The university's scholarship office can provide guidance on finding and applying for such scholarships.
Graduate Research and Teaching Assistantships: Some graduate programs at NSU offer research and teaching assistantship opportunities to graduate students. These positions often come with a stipend and can help graduate students gain valuable experience in their field of study.
It's important to note that scholarship availability, eligibility criteria, and application processes can change from year to year.
Nova Southeastern University (NSU) offers an innovative and STEM-designated Master of Science (M.S.) in Data Analytics program that opens the door to a world of exciting career opportunities in the field of data analysis. Graduates of this program are well-equipped to excel in various industries and domains where data-driven decision-making is essential.
Data Analyst/Scientist: Graduates can work as data analysts or data scientists, responsible for collecting, cleaning, and analyzing data to provide valuable insights. They develop algorithms and models to solve complex business problems.
Business Intelligence Analyst: Business intelligence analysts focus on transforming data into actionable information. They design and implement data visualizations, dashboards, and reports to help organizations make informed decisions.
Machine Learning Engineer: In industries like e-commerce and healthcare, machine learning engineers build and maintain machine learning models to improve product recommendations, medical diagnoses, and more.
Data Engineer: Data engineers design, construct, install, and maintain data architectures (e.g., databases, large-scale processing systems) to support data analytics processes.
Quantitative Analyst (Quant): Quants use statistical and mathematical models to inform financial and risk management decisions. They are in demand in the finance industry, working for investment firms, hedge funds, and banks.
Healthcare Data Analyst: Healthcare organizations hire data analysts to improve patient care and optimize operations. They analyze patient records, clinical data, and healthcare trends to enhance healthcare delivery.
Marketing Analyst: Marketing analysts leverage data to assess the effectiveness of marketing campaigns, identify customer segments, and predict market trends to develop targeted marketing strategies.
Consultant: Data analytics consultants work for consulting firms, advising clients across industries on data-driven strategies and helping them harness the power of data for business growth.
Government Analyst: Government agencies rely on data analysts to inform public policy decisions, conduct research, and improve services. Data analysts in government often focus on areas like education, public health, and criminal justice.
Research Scientist: Some graduates pursue careers in research, contributing to academic institutions or research organizations, where they investigate data-driven questions, develop new methodologies, and publish research papers.
Cybersecurity Analyst: With the increasing importance of cybersecurity, data analytics skills are valuable for monitoring and identifying security threats, helping organizations protect sensitive data.
Supply Chain Analyst: Supply chain analysts optimize logistics and operations by analyzing data related to inventory, demand forecasting, and distribution.
Pharmaceutical Data Analyst: In the pharmaceutical industry, data analysts help streamline drug development processes, clinical trials, and drug safety monitoring.
Start-Up Entrepreneur: Graduates with entrepreneurial ambitions can leverage their data analytics skills to launch startups focused on solving specific industry problems or creating innovative data-driven products.
Academic Career: Some graduates choose to pursue academic careers by furthering their education through Ph.D. programs and contributing to research and teaching at universities.