M.A. in Sociology
George Mason University, a prestigious institution located in Fairfax, Virginia, offers...
Fairfax, Virginia
INTAKE: Jan & Aug
George Mason University (GMU), situated in the United States, offers a Bachelor of Science (B.S.) in Computational & Data Sciences program aimed at providing students with a comprehensive understanding of computational methods and data analysis techniques. This interdisciplinary program combines elements of computer science, mathematics, statistics, and domain-specific knowledge to address complex problems in various fields.
STEM Designated: The B.S. in Computational & Data Sciences program at GMU holds STEM designation, underscoring its emphasis on science, technology, engineering, and mathematics. This designation signifies that the program meets the criteria established by the U.S. Department of Homeland Security, making it eligible for Optional Practical Training (OPT) extensions for international students upon graduation. STEM designation highlights the program's commitment to preparing students for careers in high-demand STEM fields.
Curriculum: The curriculum of GMU's B.S. in Computational & Data Sciences program is designed to provide students with a strong foundation in computational methods, data analysis, and scientific inquiry. Students take courses in programming, algorithms, data structures, machine learning, statistical analysis, and domain-specific applications. The curriculum emphasizes hands-on learning experiences through projects, internships, and collaborative research opportunities, allowing students to apply theoretical knowledge to real-world problems.
Research Focus: Research is a key component of the B.S. in Computational & Data Sciences program at GMU, with faculty and students engaged in cutting-edge research projects spanning various domains. Research areas may include but are not limited to, artificial intelligence, data mining, bioinformatics, climate modeling, social network analysis, and cybersecurity. Students have opportunities to participate in research initiatives, working alongside faculty mentors to explore innovative approaches to computational and data-driven challenges.
Industry Engagement: GMU's B.S. in Computational & Data Sciences program emphasizes industry engagement to ensure that students gain practical skills and industry-relevant experience. The program collaborates with industry partners, research institutions, government agencies, and nonprofit organizations to provide students with internships, co-op opportunities, and industry-sponsored projects. Through industry engagement, students gain insight into real-world applications of computational and data science techniques and establish valuable connections with potential employers.
Global Perspective: In today's interconnected world, understanding global issues and perspectives is essential for addressing complex challenges in computational and data sciences. The B.S. in Computational & Data Sciences program at GMU integrates a global perspective into its curriculum by exploring the impact of cultural, social, economic, and environmental factors on data-driven decision-making. Students may have opportunities to study global datasets, collaborate with international partners, or participate in cross-cultural research projects, gaining a broader understanding of computational and data science issues within a global context.
Fairfax, Virginia
IELTS 6.5
USD 39170
Undergraduate Entry Requirements
Application Fees: Waiver
Academic Qualifications: Prospective undergraduate students are required to have a minimum academic achievement of 80% or above in their previous educational qualifications.
English Language Proficiency
Students must provide:
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
George Mason University recognizes the importance of making higher education accessible to a diverse range of students, including international students. As such, the university offers a variety of scholarships to help offset the cost of tuition and support the academic pursuits of international students.
Global Excellence Scholarship: The Global Excellence Scholarship is a merit-based award available to incoming international undergraduate students. It recognizes academic achievement, leadership skills, and contributions to the community. The scholarship amount varies and is renewable for up to four years.
College and Departmental Scholarships: Many of George Mason University's colleges and academic departments offer scholarships to international students who excel in specific fields of study. These scholarships may require students to meet certain academic criteria and demonstrate a strong their chosen area of study.
Graduate Assistantships: International graduate students at George Mason University have the opportunity to apply for graduate assistantships, which provide funding for tuition and stipends for work as research or teaching assistants. These assistantships offer valuable hands-on experience while helping to offset educational costs.
International Baccalaureate Scholarships: International students who have completed the International Baccalaureate (IB) program may be eligible for scholarships based on their IB scores and academic achievements. These scholarships are available to both undergraduate and graduate students.
Private Scholarships: George Mason University encourages international students to explore private scholarship opportunities from external organizations, foundations, and government agencies. The university's scholarship office can provide guidance and resources to help students find and apply for these scholarships.
Fullbright Scholarships: International students seeking advanced degrees may be eligible to apply for the prestigious Fullbright scholarship program, which provides funding for graduate study, research, and cultural exchange opportunities in the United States.
It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary.
George Mason University (GMU), located in the United States, offers a Bachelor of Science (B.S.) in Computational & Data Sciences program that prepares graduates for diverse and rewarding career opportunities in the rapidly growing fields of computational science, data analysis, and machine learning. With a strong foundation in computer science, mathematics, and statistics, graduates of GMU's B.S. in Computational & Data Sciences program have a wide range of career options available to them.
Data Scientist: Many graduates pursue careers as data scientists, leveraging their skills in programming, statistical analysis, and machine learning to extract insights from large datasets. Data scientists work across various industries, including technology, finance, healthcare, marketing, and government, applying advanced analytics techniques to inform decision-making, optimize processes, and drive business value.
Software Developer: Another common career path for graduates is to work as software developers, designing and building software applications that incorporate computational and data science techniques. Software developers may specialize in areas such as data visualization, artificial intelligence, big data processing, or web development, creating innovative solutions to complex problems in fields ranging from e-commerce to scientific research.
Data Analyst: Graduates may also pursue careers as data analysts, focusing on collecting, cleaning, and analyzing data to identify trends, patterns, and insights that inform organizational decision-making. Data analysts work in diverse industries, including healthcare, finance, marketing, and government, helping organizations leverage data to improve operations, optimize strategies, and drive innovation.
Machine Learning Engineer: For those interested in artificial intelligence and machine learning, careers as machine learning engineers offer exciting opportunities to develop and deploy algorithms that enable computers to learn from data and make predictions or decisions. Machine learning engineers work on projects such as image recognition, natural language processing, recommendation systems, and autonomous vehicles, contributing to advancements in technology and innovation.
Research Scientist: Graduates with a passion for research may pursue careers as research scientists, conducting cutting-edge research in academia, industry, or government labs. Research scientists explore new algorithms, methodologies, and technologies in computational and data sciences, contributing to scientific advancements in fields such as bioinformatics, climate modeling, social network analysis, and cybersecurity.