M.S. in Engineering Quality
Lawrence Technological University offers an innovative Master of Science (M.S.) in Engi...
B.S. in Data Science
Southfield, Michigan
INTAKE: Jan, May & Aug
Program Overview
The Bachelor of Science (B.S.) in Data Science at Lawrence Technological University is designed to equip students with essential skills and knowledge in data analysis, statistical methods, and programming. This program focuses on the collection, processing, and analysis of large data sets to derive meaningful insights that can inform business strategies and decision-making. With a curriculum that blends technical proficiency with critical thinking, graduates are prepared to excel in a data-driven world, making significant contributions to various industries.
Curriculum: The curriculum for the B.S. in Data Science combines core courses in mathematics, statistics, and computer science with specialized courses in data mining, machine learning, and data visualization. Students engage in hands-on projects and practical applications, allowing them to gain experience with industry-standard tools and technologies. The program emphasizes real-world problem-solving, ensuring that students can apply their knowledge to analyze complex data sets and develop actionable insights.
Research Focus: Lawrence Tech fosters a strong research culture within the Data Science program, encouraging students to participate in faculty-led research projects that explore innovative methodologies and applications in the field. Research areas may include predictive analytics, big data technologies, and data ethics, enabling students to contribute to advancements in data science while gaining valuable experience in academic research.
Industry Engagement: The Data Science program emphasizes strong industry engagement through partnerships with local businesses and organizations. Students have access to internships, co-op opportunities, and collaborative projects that allow them to apply their skills in real-world settings. These experiences enhance their professional networks and prepare them for the competitive job market by providing practical experience and industry insights.
Global Perspective: The B.S. in Data Science program incorporates a global perspective by examining how data science practices and applications vary across different cultures and economies. Students explore international case studies, data privacy regulations, and ethical considerations in global contexts, preparing them to work effectively in diverse environments and understand the implications of data use on a global scale. This comprehensive approach ensures that graduates are equipped to navigate the complexities of the data landscape in an interconnected world.
Location
Southfield, Michigan
Score
IELTS 6
Tuition Fee
USD 41000
Undergraduate Entry Requirements
Application Fee: $50
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 60 or higher.
- DET (Duolingo English Test): Minimum score of 95.
Lawrence Technological University is providing financial assistance and opportunities for academic excellence through its comprehensive scholarship programs. These scholarships aim to attract and support talented and deserving students across various disciplines.
Merit-Based Scholarships: LTU offers a range of merit-based scholarships recognizing outstanding academic achievement, leadership, and extracurricular involvement. These scholarships are typically awarded to high-achieving students who demonstrate exceptional potential in their chosen fields of study.
Engineering and Technology Scholarships: Given LTU's strong emphasis on engineering and technology, there are specialized scholarships tailored for students pursuing degrees in these disciplines. These scholarships aim to support and encourage students aspiring to make significant contributions to the fields of engineering and technology.
Design and Architecture Scholarships: Recognizing the importance of design and architecture, LTU provides scholarships specifically for students pursuing degrees in these creative disciplines. These scholarships may be awarded based on portfolio reviews, design competitions, and academic achievements.
Business and Management Scholarships: LTU offers scholarships for students pursuing business and management degrees. These scholarships often consider academic performance, leadership skills, and a demonstrated excellence in the business and management fields.
Community Engagement Scholarships: LTU values community involvement and social responsibility. Scholarships recognizing community service, leadership in civic activities, and making a positive impact in society are available for students who actively contribute to their communities.
Diversity and Inclusion Scholarships: LTU promotes diversity and inclusion on campus. Scholarships are available to students from underrepresented backgrounds, encouraging a diverse and vibrant student body. These scholarships aim to create an inclusive learning environment that celebrates diversity.
Athletic Scholarships: LTU supports student-athletes through athletic scholarships. These scholarships are awarded to students who excel in sports and demonstrate a commitment to both their academic and athletic pursuits.
International Student Scholarships: LTU recognizes the value of international perspectives in the academic community. Scholarships for international students are available to promote cultural diversity and provide financial assistance to those pursuing education at LTU.
Graduates of the Bachelor of Science (B.S.) in Data Science program at Lawrence Technological University have access to a diverse range of career opportunities in the rapidly expanding field of data science and analytics. Equipped with technical skills and analytical expertise, alumni can pursue various roles that leverage their ability to interpret data and drive business decisions.
Data Analyst: Analyzing and interpreting complex data sets to provide actionable insights that support business objectives and inform strategic planning.
Data Scientist: Utilizing advanced statistical methods, machine learning, and predictive modeling to analyze data and solve complex problems, often creating algorithms to enhance data processing.
Business Intelligence Analyst: Designing and implementing business intelligence solutions that help organizations understand performance metrics and optimize their operations based on data insights.
Machine Learning Engineer: Developing and deploying machine learning models and algorithms that enable systems to learn from data and make automated decisions.
Data Engineer: Building and maintaining the infrastructure required for data generation, ensuring that data pipelines are efficient, scalable, and secure.
Quantitative Analyst: Applying mathematical and statistical techniques to analyze financial and business data, providing insights that inform investment strategies and risk management.
Statistician: Using statistical techniques to analyze and interpret data, often working in fields such as healthcare, finance, or government to inform policy and decision-making.
Research Scientist: Conducting research that leverages data analysis and statistical methods to contribute to scientific advancements in various domains, including healthcare, technology, and social sciences.
