M.S. in Biology
Tennessee Tech University offers an exceptional Master of Science (M.S.) in Biology pro...
B.S. in Computer Science - Data Science and Artificial Intelligence
Cookeville, Tennessee
INTAKE: Jan & Aug
Program Overview
The Bachelor of Science in Computer Science with a specialization in Data Science and Artificial Intelligence (AI) at Tennessee Tech University is designed to equip students with the skills needed to thrive in the rapidly evolving tech industry. This program combines foundational computer science principles with specialized knowledge in data science and AI, preparing graduates for careers in data analytics, machine learning, and advanced computational technologies.
STEM-Designated: This program is STEM-designated, aligning with Tennessee Tech University's commitment to promoting science, technology, engineering, and mathematics education. The STEM designation highlights the program's emphasis on rigorous technical training and its relevance to high-demand fields in technology and analytics.
Curriculum: The curriculum for the B.S. in Computer Science with a focus on Data Science and AI includes a blend of core computer science courses and specialized electives. Students begin with foundational coursework in programming, algorithms, and systems, and then advance to topics such as data mining, machine learning, artificial intelligence, and big data analytics. The program also integrates hands-on projects and labs to provide practical experience.
Research Focus: The research focus in this program is on cutting-edge topics within data science and AI, including but not limited to machine learning algorithms, natural language processing, and data-driven decision-making. Students have opportunities to engage in research projects that explore innovative solutions to real-world problems, often in collaboration with faculty members and industry partners.
Industry Engagement: Tennessee Tech University emphasizes industry engagement through internships, cooperative education experiences, and partnerships with tech companies. The program often features guest lectures from industry experts and offers career development resources to help students transition into the workforce. These connections facilitate practical learning and enhance job placement prospects for graduates.
Global Perspective: The program incorporates a global perspective by preparing students to work in an international context. This includes exposure to global trends in data science and AI, opportunities for international research collaborations, and a curriculum that emphasizes the impact of technology on global issues. The university’s network of alumni and partners worldwide further enriches the global learning experience.
Location
Cookeville, Tennessee
Score
IELTS 6
Tuition Fee
USD 27786
Undergraduate Entry Requirements
Application Fee: $40
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 70% 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 52 or higher.
- DET (Duolingo English Test): Overall score of 85.
Tennessee Tech University (TTU) recognizes the importance of financial support for international students pursuing higher education in the United States. The university offers a variety of scholarships and financial aid opportunities to help offset the cost of tuition and promote academic excellence.
International Transfer Scholarships: These scholarships are designed for international transfer students who are transferring from a community college or another university to Tennessee Tech. The awards are based on academic achievement and range in value.
Presidential Scholarship: The Presidential Scholarship is one of TTU's most prestigious awards. It is offered to high-achieving international students who have demonstrated exceptional academic performance. This scholarship covers full tuition and fees.
Provost Scholarship: The Provost Scholarship is another highly competitive scholarship for outstanding international students. It provides significant financial support, including tuition and fees, to deserving recipients.
Academic Performance Scholarships: TTU offers a range of academic performance scholarships that are based on a student's GPA, standardized test scores (SAT or ACT), and other academic achievements. These scholarships can vary in value.
Departmental Scholarships: Some academic departments at TTU offer departmental scholarships to international students who are majoring in specific fields. These scholarships are typically based on academic performance and departmental criteria.
Honors Program Scholarships: TTU's Honors Program offers scholarships to international students who have been admitted to the program. These scholarships are designed to support students pursuing an enriched academic experience.
External Scholarships: TTU encourages international students to explore external scholarship opportunities offered by organizations, foundations, and government agencies in their home countries. The university's international education office can assist students in identifying and applying for these scholarships.
Financial Aid and Work-Study Programs: In addition to scholarships, TTU offers financial aid options and work-study programs to help international students with their educational expenses. These opportunities can provide valuable financial support.
Renewable Scholarships: - Many of the scholarships mentioned above are renewable, meaning that students can continue to receive funding for the duration of their academic program as long as they meet specific academic and eligibility criteria.
Graduates of the B.S. in Computer Science with a focus on Data Science and Artificial Intelligence from Tennessee Tech University are well-equipped to enter a variety of dynamic and high-demand career fields.
Data Scientist: Graduates can pursue careers as data scientists, where they apply statistical analysis and machine learning techniques to interpret complex data sets and provide actionable insights. Data scientists often work in various sectors, including finance, healthcare, and technology, to drive data-informed decision-making and innovation.
Machine Learning Engineer: As machine learning engineers, graduates design and implement machine learning models and algorithms that enable systems to learn from data and make predictions or decisions. This role involves working with large data sets and optimizing algorithms for performance and accuracy, often in tech firms, research labs, or startups.
Artificial Intelligence Engineer: AI engineers develop and deploy AI systems and applications, focusing on areas such as natural language processing, computer vision, and robotics. They work on creating intelligent systems that can mimic human cognition and behavior, contributing to advancements in technology across various industries.
Data Analyst: Data analysts use their skills to examine data and generate reports that help organizations understand trends and patterns. They often work with business intelligence tools and databases to support decision-making processes, contributing to strategic planning and operational efficiency.
Big Data Engineer: In the role of a big data engineer, graduates manage and optimize large-scale data processing systems. They work with big data technologies to handle vast amounts of data, ensuring systems are scalable, efficient, and capable of processing real-time data streams for analysis and business insights.
Business Intelligence (BI) Developer: BI developers focus on creating data visualizations, dashboards, and reporting tools that enable businesses to monitor performance and make informed decisions. They work closely with stakeholders to understand their data needs and deliver actionable insights through effective data presentation.
Software Developer: Graduates may choose to become software developers, working on a wide range of applications and systems. With a background in data science and AI, they can specialize in developing software solutions that incorporate advanced analytics, machine learning, or AI features to solve specific problems.
Research Scientist: For those interested in academia or research, a role as a research scientist allows graduates to explore innovative solutions in data science and AI. They may work in research institutions, universities, or corporate R&D departments, focusing on advancing knowledge and developing new technologies.
Consultant: Data science and AI consultants provide expertise to organizations looking to leverage data and AI technologies for business improvement. They analyze client needs, recommend solutions, and help implement strategies that enhance data utilization and AI capabilities.
Entrepreneur: With a strong foundation in data science and AI, graduates may choose to start their own ventures or tech startups. Their expertise enables them to develop new products or services that address market needs, leveraging data and AI to create innovative solutions.
