M.E. in Civil Engineering
The Master of Engineering (M.E.) in Civil Engineering program at Colorado State Univers...
B.S. in Data Science
Fort Collins, Colorado
INTAKE: Jan & Aug
Program Overview
Colorado State University offers a robust B.S. in Data Science program designed to equip students with the knowledge and skills necessary to excel in the rapidly growing field of data analytics. The program combines foundational coursework in mathematics, statistics, computer science, and domain-specific applications to prepare graduates for careers as data scientists, analysts, and engineers.
STEM-Designated: The B.S. in Data Science at Colorado State University is STEM-designated, highlighting its rigorous academic focus on science, technology, engineering, and mathematics. This designation enhances opportunities for international students seeking employment in the U.S. through extended Optional Practical Training (OPT) periods.
Curriculum: The curriculum emphasizes a multidisciplinary approach, integrating core courses in programming, database management, machine learning, and data visualization. Students also engage in practical projects that apply theoretical concepts to real-world datasets, fostering critical thinking and problem-solving skills essential in data-driven industries.
Research Focus: The program encourages research initiatives in data science, enabling students to collaborate with faculty on cutting-edge projects in areas such as predictive modeling, computational biology, social network analysis, and more. Research opportunities enhance students' analytical abilities and contribute to advancements in data science methodologies.
Industry Engagement: Colorado State University fosters strong connections with industry partners, including tech companies, healthcare organizations, government agencies, and financial institutions. These partnerships provide students with internship opportunities, guest lectures, and collaborative projects that bridge academic learning with industry demands.
Global Perspective: The B.S. in Data Science program incorporates a global perspective through coursework that addresses global data trends, ethical considerations in data collection and analysis, and applications of data science in diverse cultural contexts. Students gain insights into international data regulations and global business practices, preparing them for careers in a interconnected world.
Location
Fort Collins, Colorado
Score
IELTS 6
Tuition Fee
USD 33973
Undergraduate Entry Requirements
Application Fees: US$ 65
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 or 6.5 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 92 with a minimum of 20 in each section.
- DET (Duolingo English Test): Minimum score of 110.
Standardized Test Requirements:
- SAT (Scholastic Assessment Test): Overall score of 520 is required.
- ACT (American College Testing): Minimum of 20 is required in reading.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.
Colorado State University (CSU) offers a range of scholarships and financial aid opportunities to support international students in their academic journey. These scholarships are designed to recognize academic excellence, promote diversity, and alleviate the financial burden of education.
International Presidential Scholarship: This highly competitive scholarship is awarded to outstanding international undergraduate students. The scholarship covers a significant portion of tuition costs and is renewable for up to four years, provided that students maintain a minimum GPA.
International Merit Scholarship: This scholarship is available to international undergraduate students who have demonstrated exceptional academic achievement. The scholarship amount varies and is renewable based on continued academic performance.
CSU Provost's Scholarship: The Provost's Scholarship is awarded to a limited number of outstanding international undergraduate students. It covers a portion of tuition costs and is renewable for up to four years, depending on academic performance.
College and Department Scholarships: CSU's various colleges and departments offer scholarships specifically for international students in different fields of study. These scholarships may be based on academic merit, financial need, or other specific criteria related to the discipline.
Global Diversity Scholarship: This scholarship is designed to promote diversity and cultural understanding at CSU. It provides financial assistance to international students who have demonstrated a commitment to fostering diversity and inclusivity within the university community.
Graduate Assistantships: CSU offers graduate assistantships that provide a stipend and often include a tuition waiver or reduction. These assistantships provide opportunities for international graduate students to gain valuable research or teaching experience while pursuing their degree.
External Scholarships: CSU encourages international students to explore external scholarship opportunities offered by organizations, foundations, and government agencies. The university provides guidance and support in identifying and applying for these scholarships.
It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary.
Graduates of Colorado State University's B.S. in Data Science program are well-positioned for diverse and high-demand career opportunities in data-driven industries.
Data Scientist: As data scientists, graduates analyze complex datasets to extract insights and trends that inform business decisions. They utilize statistical techniques, machine learning algorithms, and programming skills to solve problems and drive innovation across various sectors such as finance, healthcare, retail, and technology.
Data Analyst: Data analysts interpret data to identify patterns, trends, and correlations that help organizations improve efficiency and decision-making. They create visualizations, reports, and dashboards to communicate findings to stakeholders and contribute to strategic planning.
Machine Learning Engineer: Graduates may specialize as machine learning engineers, developing algorithms and models that enable computers to learn from data and make predictions or decisions autonomously. They work on projects involving natural language processing, image recognition, recommendation systems, and more.
Business Intelligence Analyst: Business intelligence analysts gather and analyze data to provide actionable insights that drive business strategy and operational improvements. They work closely with management teams to optimize processes, identify market opportunities, and enhance organizational performance.
Data Engineer: Data engineers design and build data pipelines and infrastructure that facilitate the collection, storage, and retrieval of large-scale datasets. They ensure data quality, security, and accessibility, enabling seamless integration with analytical platforms and applications.
Quantitative Analyst (Quant): Quantitative analysts apply mathematical and statistical models to financial data, supporting investment strategies, risk management, and trading decisions in the finance industry. They develop pricing models, conduct market research, and assess the impact of economic factors on investment portfolios.
