M.S. in Information Systems
Northwest Missouri State University offers an exceptional Master of Science (M.S.) in I...
B.S. in Data Science: Computer science
Maryville
INTAKE: Jan & Aug
Program Overview
Northwest Missouri State University offers a Bachelor of Science (B.S.) in Data Science: Computer Science, designed to equip students with the necessary skills to analyze data and develop solutions using advanced computing techniques. This interdisciplinary program combines the principles of data science with core concepts in computer science, preparing graduates for diverse careers in a data-driven world. The curriculum focuses on both theoretical foundations and practical applications, ensuring that students are well-prepared to tackle real-world challenges in data analysis and software development.
Curriculum: The curriculum for the B.S. in Data Science: Computer Science program includes a blend of computer science courses, data analysis techniques, and statistical methodologies. Students learn programming languages such as Python and R, and gain hands-on experience with data mining, machine learning, and data visualization. In addition to core computer science topics, the program incorporates coursework in database management, algorithms, and software engineering, providing a well-rounded education that prepares students for technical roles in the industry.
Research Focus: Research plays a vital role in the B.S. in Data Science: Computer Science program at Northwest Missouri State University. Students are encouraged to participate in research projects that explore cutting-edge topics in data science and computer science. Faculty members actively mentor students in research initiatives, allowing them to investigate areas such as big data analytics, artificial intelligence, and algorithm optimization. This focus on research not only enhances students’ learning experiences but also prepares them for advanced studies or careers in high-demand fields.
Industry Engagement: Northwest Missouri State University emphasizes industry engagement by offering students opportunities for internships and cooperative education experiences. The B.S. in Data Science: Computer Science program collaborates with local businesses and organizations to provide students with hands-on learning experiences that complement their academic studies. This engagement helps students develop essential skills and professional networks, making them more competitive in the job market upon graduation.
Global Perspective: The B.S. in Data Science: Computer Science program incorporates a global perspective, preparing students to understand the complexities of data science in a globalized environment. Students are encouraged to explore international issues related to data privacy, cybersecurity, and ethical data usage. The program also offers opportunities for study abroad, allowing students to gain insights into global data practices and enhance their cultural competence.
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 B.S. in Data Science: Computer Science from Northwest Missouri State University have a variety of career paths available to them in the rapidly growing field of data science and technology. The combination of computer science expertise and data analytics skills prepares them to excel in numerous roles across various industries.
Data Scientist: One of the most sought-after roles for graduates is that of a Data Scientist. Data Scientists analyze complex data sets to extract insights and inform strategic decision-making within organizations. They utilize advanced statistical techniques and machine learning algorithms to develop predictive models that help businesses optimize their operations and enhance their products and services.
Data Analyst: Graduates may also pursue careers as Data Analysts, where they collect, process, and analyze data to provide actionable insights. In this role, they often create reports and visualizations to communicate findings to stakeholders, helping organizations make data-driven decisions that improve performance and efficiency.
Machine Learning Engineer: With a strong foundation in computer science, graduates can work as Machine Learning Engineers, specializing in developing algorithms that enable machines to learn from and make predictions based on data. This role involves building, testing, and deploying machine learning models to solve complex problems across various applications, from finance to healthcare.
Software Developer: Many graduates choose to enter the field as Software Developers, where they design, build, and maintain software applications. Their skills in programming and data management allow them to create solutions that effectively process and analyze data, making them valuable assets in any technology-focused organization.
Business Intelligence Analyst: Graduates can also work as Business Intelligence Analysts, where they focus on interpreting data to drive business strategy. They analyze market trends, create dashboards, and provide insights that help organizations make informed decisions regarding marketing, product development, and overall business strategy.
Database Administrator: Another potential career path is that of a Database Administrator. In this role, graduates manage and maintain databases to ensure data integrity and security. They are responsible for optimizing database performance and developing strategies for data storage and retrieval, ensuring that organizations can effectively manage their data resources.
Cybersecurity Analyst: With the increasing focus on data security, graduates can pursue careers as Cybersecurity Analysts. In this role, they assess and mitigate security risks related to data storage and processing. They implement security protocols and monitor systems to protect sensitive information from cyber threats.
Data Engineer: Graduates may also find opportunities as Data Engineers, where they design and implement data pipelines that facilitate the flow of data within an organization. They work on integrating data from various sources and ensuring its quality and availability for analysis by data scientists and analysts.
