M.S. in Information Systems
Northwest Missouri State University offers an exceptional Master of Science (M.S.) in I...
B.S. in Data Science
Maryville
INTAKE: Jan & Aug
Program Overview
The Bachelor of Science (B.S.) in Data Science at Northwest Missouri State University is designed to prepare students for careers in the rapidly evolving field of data analytics. This interdisciplinary program combines principles from mathematics, statistics, computer science, and domain-specific knowledge, equipping graduates with the skills necessary to analyze complex data sets and derive meaningful insights. The curriculum emphasizes practical applications and real-world problem-solving, ensuring that students are well-prepared to meet the demands of various industries.
Curriculum: The curriculum for the B.S. in Data Science includes a robust selection of core courses that cover foundational topics such as data management, statistical analysis, programming, and machine learning. Students engage in hands-on projects and collaborative learning experiences, which enhance their technical proficiency and analytical capabilities. Electives allow students to explore specialized areas such as big data, artificial intelligence, and data visualization, providing opportunities to tailor their education to specific interests and career goals.
Research Focus: Northwest Missouri State University encourages a research-oriented approach within the Data Science program, allowing students to engage in projects that address real-world data challenges. Faculty members actively participate in research initiatives, and students are encouraged to collaborate on studies that contribute to the field. This research focus not only enhances students’ understanding of theoretical concepts but also develops their practical skills in data collection, analysis, and interpretation.
Industry Engagement: The program emphasizes industry engagement by fostering partnerships with local businesses and organizations. Students have opportunities to participate in internships, co-op programs, and networking events that connect them with industry professionals. These experiences provide valuable insights into the data science field and enhance students' employability upon graduation, as they gain practical experience and professional connections.
Global Perspective: The B.S. in Data Science program promotes a global perspective by incorporating coursework that examines data issues in a global context. Students learn about the ethical implications of data use, the impact of cultural differences on data interpretation, and the importance of global data standards. This perspective prepares graduates to navigate the complexities of data science in an increasingly interconnected world.
Location
Maryville
Score
IELTS 6
Tuition Fee
USD 19754
Undergraduate Entry Requirements
Application Fee: $75
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 60% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.0 with a minimum of 5.5 in each component.
- TOEFL: Overall score of 61 or higher.
- PTE: Overall score of 44 or higher.
- DET (Duolingo English Test): Minimum score of 95.
Scholarships for International Students at Northwest Missouri State University
International Incentive Scholarships: Northwest Missouri State University offers International Incentive Scholarships to qualified undergraduate and graduate international students. These scholarships are merit-based and may vary in amounts.
Bearcat Advantage Scholarship: The Bearcat Advantage Scholarship is designed for new undergraduate international students at NWMSU. The scholarship is based on academic merit, and eligible students may receive varying amounts to help offset tuition costs.
Cultural Scholarship: NWMSU may offer Cultural Scholarships to international students who actively contribute to cultural diversity on campus. These scholarships recognize students' involvement in cultural events, community engagement, and leadership.
International Bearcat Advantage Gold Scholarship: This scholarship is a competitive, merit-based award for new undergraduate international students. It recognizes outstanding academic achievement and may cover a significant portion of the tuition costs.
Northwest International Ambassador Scholarship: The Northwest International Ambassador Scholarship is awarded to international students who demonstrate leadership skills, academic excellence, and a enhancing cross-cultural understanding. Recipients may receive financial support.
International Bearcat Advantage Platinum Scholarship: The Platinum Scholarship is a prestigious merit-based scholarship for new undergraduate international students. It recognizes exceptional academic accomplishments and may provide substantial financial assistance.
Private Scholarships and Grants: Northwest Missouri State University encourages international students to explore external private scholarships and grants. These may be offered by organizations, foundations, or government entities and can contribute to funding educational expenses.
Study Missouri International Student Scholarship: NWMSU may participate in statewide scholarship programs, such as the Study Missouri International Student Scholarship. Eligible students are selected based on academic achievement, leadership, and community involvement.
Graduates with a Bachelor of Science in Data Science from Northwest Missouri State University have access to a wide range of career opportunities in various sectors. The program's comprehensive curriculum equips them with the skills necessary to analyze data, develop algorithms, and extract meaningful insights from complex datasets.
Data Analyst: Data analysts play a crucial role in interpreting data and providing actionable insights. They analyze trends, create visualizations, and help organizations make data-driven decisions. Graduates can find positions in various industries, including finance, healthcare, and marketing.
Data Scientist: As data scientists, graduates leverage statistical techniques and programming skills to solve complex problems. They build predictive models and perform advanced analyses to help organizations gain a competitive edge. This role often requires strong expertise in machine learning and data mining.
Business Intelligence Analyst: Business intelligence analysts focus on analyzing data to improve business operations. They work with management teams to identify trends and develop strategies that enhance efficiency and profitability. Graduates often use tools like Tableau or Power BI for data visualization.
Machine Learning Engineer: Machine learning engineers design and implement algorithms that allow computers to learn from and make predictions based on data. Graduates pursuing this path will need strong programming skills and a solid understanding of statistical modeling techniques.
Statistician: Statisticians apply mathematical and statistical techniques to analyze data and interpret results. They work in various fields, including healthcare, government, and academia, helping organizations make informed decisions based on empirical evidence.
Data Engineer: Data engineers build and maintain the infrastructure needed for data generation and processing. They design databases, develop data pipelines, and ensure data quality, allowing data scientists and analysts to access clean and reliable data.
Quantitative Analyst: Also known as "quants," quantitative analysts use mathematical models to analyze financial data and assess risk. This role is prevalent in investment banks, hedge funds, and insurance companies, where graduates apply their statistical skills to drive investment strategies.
Operations Research Analyst: Operations research analysts use advanced analytical methods to help organizations solve complex problems and improve decision-making. They apply mathematical modeling and optimization techniques to analyze data and develop efficient processes.
Big Data Engineer: Big data engineers specialize in managing and processing large volumes of data. They design and implement big data technologies such as Hadoop or Spark to enable organizations to handle vast datasets effectively.
Research Scientist: Research scientists in data science apply their analytical skills to conduct research in various domains, such as healthcare, environmental science, or social science. They often work in academic or government settings, contributing to projects that require deep data analysis.
