B.S. in Data Analytics and Systems Engineering

Colorado Springs

 

INTAKE: Jan, May & Aug

Program Overview

The B.S. in Data Analytics and Systems Engineering at the University of Colorado - Colorado Springs (UCCS) is designed to equip students with the skills needed to excel in the data-driven world. This program integrates principles of data analytics with systems engineering to prepare students for roles in analyzing complex data sets and designing robust systems. It focuses on combining technical expertise with analytical skills to address challenges in various industries.

STEM-Designated: The B.S. in Data Analytics and Systems Engineering is designated as a STEM (Science, Technology, Engineering, and Mathematics) program. This designation highlights the program's emphasis on quantitative and technical skills essential for careers in data science and engineering. For international students, this STEM classification also allows for an extended Optional Practical Training (OPT) period, providing additional opportunities for practical work experience in the U.S.

Curriculum: The curriculum of the B.S. in Data Analytics and Systems Engineering is structured to provide a solid foundation in both data analytics and systems engineering. Students start with core courses in mathematics, computer science, and engineering principles. Advanced coursework includes data mining, machine learning, data visualization, systems modeling, and engineering design. The program also incorporates hands-on projects and labs that simulate real-world data analysis and system design challenges.

Research Focus: Research within the B.S. in Data Analytics and Systems Engineering program covers a broad spectrum of topics related to data management and systems optimization. Key research areas include predictive analytics, big data technologies, algorithm development, and the integration of data-driven insights into engineering systems. Students may engage in research projects that explore innovative solutions to data-related problems and contribute to advancements in systems engineering practices.

Industry Engagement: The program emphasizes strong industry engagement through internships, collaborative projects with industry partners, and guest lectures from professionals in the field. Students have opportunities to work on real-world problems, gain practical experience, and build connections with industry experts. These experiences are designed to enhance students' employability and provide insights into current trends and challenges in data analytics and systems engineering.

Global Perspective: The B.S. in Data Analytics and Systems Engineering incorporates a global perspective by addressing international standards and practices in data analysis and systems engineering. Students learn about global data management regulations, international engineering practices, and cross-cultural challenges in data-driven decision-making. The program may also offer opportunities for students to participate in global research initiatives and collaborate with international institutions.

Pollster Education

Location

Colorado Springs

Pollster Education

Score

IELTS 6

Pollster Education

Tuition Fee

USD 26500

Undergraduate Entry Requirements

Application Fees: US$ 60

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 5.5 in each component.
  • TOEFL: Overall score of 75 or higher.
  • PTE: Overall score of 50 or higher.
  • DET (Duolingo English Test): Overall score of 100.

The University of Colorado - Colorado Springs (UCCS) offers several scholarship opportunities to support and recognize the academic achievements of international students. These scholarships are designed to attract top-performing students from around the world and provide financial assistance to help them pursue their education at UCCS.

Chancellor's Scholarship for International Students: The Chancellor's Scholarship is one of the most prestigious scholarships offered by UCCS. It is awarded to a limited number of outstanding international students based on their academic performance, leadership potential, and extracurricular activities. Recipients of this scholarship receive a substantial tuition waiver.

Global Excellence Scholarship: The Global Excellence Scholarship is aimed at high-achieving international students who demonstrate exceptional academic credentials. The scholarship provides financial support to cover a significant portion of the tuition fees.

Merit-Based Scholarships: UCCS offers various merit-based scholarships that consider the academic achievements and accomplishments of international students. These scholarships are awarded based on GPA, standardized test scores, and other academic criteria.

International Student Academic Achievement Scholarship: This scholarship is open to international undergraduate and graduate students who have demonstrated outstanding academic performance. It provides partial tuition support to selected recipients.

Cultural Diversity Scholarship: UCCS values diversity and offers the Cultural Diversity Scholarship to international students who contribute to the cultural enrichment of the university community. This scholarship aims to recognize and support students from diverse backgrounds.

Study Abroad Scholarships: UCCS encourages international students to explore study abroad opportunities. The university offers scholarships for international students who wish to participate in study abroad programs to further broaden their educational experiences.

Graduates of the B.S. in Data Analytics and Systems Engineering from the University of Colorado - Colorado Springs (UCCS) are well-prepared to enter a range of dynamic and in-demand fields. This program equips students with a unique blend of skills in data analysis and systems engineering, making them highly competitive in the job market. 

Data Analyst: Data analysts interpret complex data sets to help organizations make informed decisions. They use statistical tools and software to analyze trends, create reports, and visualize data. In this role, graduates apply their knowledge of data mining and analytics to support business strategies and improve operational efficiency.

Data Scientist: Data scientists build on the skills of data analysts by developing advanced algorithms and predictive models. They work with large datasets to extract actionable insights and create data-driven solutions for business problems. This role often involves expertise in machine learning, programming, and statistical analysis.

Systems Engineer: Systems engineers focus on designing, integrating, and managing complex systems within an organization. They ensure that various components of a system work together efficiently and effectively. This role requires strong problem-solving skills and the ability to oversee the entire lifecycle of a system, from conception to deployment.

Business Intelligence (BI) Analyst: BI analysts specialize in transforming data into strategic insights that drive business decisions. They use BI tools to create dashboards, reports, and visualizations that highlight key performance indicators and trends. This role involves close collaboration with business units to align data strategies with organizational goals.

Data Engineer: Data engineers build and maintain the infrastructure that allows organizations to store, process, and analyze data. They design data pipelines, manage databases, and ensure data quality and accessibility. This role requires expertise in database management, programming, and data warehousing.

Machine Learning Engineer: Machine learning engineers develop and implement algorithms that enable systems to learn from and make predictions based on data. They work on creating models for applications such as recommendation systems, natural language processing, and autonomous systems. This role involves a deep understanding of machine learning techniques and programming skills.

Operations Research Analyst: Operations research analysts use mathematical and statistical methods to solve complex operational problems. They analyze data to optimize processes, improve efficiency, and support decision-making in various industries. This role combines analytical skills with a focus on practical problem-solving.

IT Consultant: IT consultants advise organizations on technology solutions to improve their operations and achieve their strategic goals. They assess current systems, recommend improvements, and assist with the implementation of new technologies. This role involves a strong understanding of both data analytics and systems engineering.

Project Manager: Project managers oversee the planning, execution, and completion of projects related to data analytics and systems engineering. They coordinate teams, manage resources, and ensure that projects meet deadlines and objectives. This role requires strong organizational and leadership skills.

Cybersecurity Analyst: Cybersecurity analysts focus on protecting an organization’s data and systems from security threats. They monitor network activity, analyze security breaches, and implement measures to safeguard information. This role involves a combination of data analysis and systems management skills to address cybersecurity challenges.


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