M.S. in Physician Assistant
The Master of Science in Physician Assistant program at the University of Mary Hardin-B...
B.S. in Computer Science - Data Analysis and Visualization
Belton, Texas
INTAKE: Jan, May & Aug
Program Overview
The B.S. in Computer Science - Data Analysis and Visualization program at UMHB provides students with a comprehensive education in computer science while emphasizing the critical skills needed for data analysis and visualization. This program is designed to prepare students for careers in data science, analytics, and related fields, equipping them with both theoretical knowledge and practical skills in computing and data interpretation.
Curriculum: The curriculum integrates foundational courses in computer science, including programming, algorithms, and database management, alongside specialized courses focusing on data analysis techniques and visualization methods. Students learn to utilize various programming languages and tools, such as Python, R, and Tableau, to analyze complex datasets and create visual representations that facilitate understanding and decision-making.
Research Focus: UMHB encourages undergraduate research in the field of data analysis and visualization. Students have the opportunity to engage in faculty-led research projects that explore innovative techniques for data mining, machine learning, and visual analytics. This research component allows students to apply their classroom knowledge to real-world problems, fostering critical thinking and problem-solving skills.
Industry Engagement: The program emphasizes collaboration with industry partners, providing students with opportunities for internships, cooperative education, and networking events. UMHB maintains strong connections with local businesses and tech companies, allowing students to gain practical experience and insights into the data science industry. This engagement helps students build professional relationships and enhances their employability upon graduation.
Global Perspective: Understanding data in a global context is essential in today’s interconnected world. The program incorporates global perspectives on data ethics, privacy, and cultural considerations in data analysis. Students are encouraged to explore how data-driven decisions can impact diverse populations and to consider the ethical implications of their work in a globalized society.
Location
Belton, Texas
Score
IELTS 6
Tuition Fee
USD 27360
Undergraduate Entry Requirements
Application Fee: $75
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 65% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.0 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 80 or higher.
The University of Mary Hardin-Baylor is dedicated to fostering a diverse and inclusive academic community, and it recognizes the importance of supporting international students in their pursuit of higher education. UMHB offers a range of scholarships designed to make quality education more accessible to students from around the world.
International Merit Scholarships: UMHB provides merit-based scholarships to high-achieving international students. These scholarships are awarded based on academic excellence, leadership potential, and extracurricular achievements.
Cultural Exchange Scholarships: To encourage cultural diversity on campus, UMHB offers scholarships for students participating in cultural exchange programs. These scholarships aim to enhance cross-cultural understanding and promote a global learning environment.
Athletic Scholarships: Exceptional athletes can benefit from athletic scholarships, which are available for various sports programs at UMHB.
Leadership and Service Scholarships: UMHB values students who demonstrate leadership skills and community service. Scholarships in this category are designed to recognize and support individuals who have made significant contributions to their communities.
Departmental Scholarships: Various academic departments at UMHB offer scholarships to students majoring in specific fields of study. These scholarships may be tied to academic achievements, research potential, or contributions to the department's goals.
B.S. in Computer Science - Data Analysis and Visualization from the University of Mary Hardin-Baylor prepares students for a diverse range of career options, equipping them with the technical skills and analytical thinking necessary to excel in today's data-driven job market.
Data Analyst: Graduates can work as data analysts, where they are responsible for interpreting complex datasets to help organizations make data-driven decisions. They utilize statistical tools and software to analyze trends, patterns, and insights that inform business strategies.
Data Scientist: As data scientists, alumni leverage their expertise in statistical analysis and machine learning to build predictive models and conduct advanced data analyses. They play a crucial role in turning raw data into actionable insights and strategies for organizations across various sectors.
Business Intelligence Analyst: In this role, graduates focus on analyzing business data and developing strategies to improve organizational performance. They use data visualization tools to present their findings to stakeholders, enabling data-informed decision-making at all levels of the organization.
Machine Learning Engineer: Graduates can pursue careers as machine learning engineers, where they design and implement algorithms that allow computers to learn from and make predictions based on data. This role requires a strong understanding of programming, statistics, and data modeling.
Data Visualization Specialist: As data visualization specialists, alumni create visual representations of data that make complex information more accessible and understandable. They utilize various tools and software to design interactive dashboards and visualizations that communicate key insights effectively.
Statistical Analyst: Graduates can become statistical analysts, applying statistical methods to analyze and interpret data across various fields, including healthcare, finance, and marketing. They conduct experiments and surveys to gather data and derive meaningful conclusions.
Quantitative Analyst: Also known as "quants," these professionals use mathematical models and statistical techniques to analyze financial data and make investment decisions. Graduates can find opportunities in banking, investment firms, and hedge funds.
Database Administrator: Alumni can work as database administrators, managing and maintaining database systems to ensure their performance, security, and availability. This role involves overseeing data storage, retrieval, and analysis, ensuring that data is organized and accessible.
Research Scientist: Graduates may engage in research roles, utilizing their data analysis skills to support scientific studies in fields such as healthcare, environmental science, or social sciences. They analyze data collected from experiments and contribute to academic publications.
IT Consultant: In this position, graduates provide expertise to organizations regarding data management, analysis, and visualization practices. They assess the data needs of clients and recommend strategies and tools to optimize their data processes.
