M.S. in Business Data Analytics

Southfield, Michigan

 

INTAKE: Jan, May & Aug

Program Overview

The Master of Science (M.S.) in Business Data Analytics program at Lawrence Technological University is a cutting-edge and AACSB-accredited program designed to meet the growing demand for professionals skilled in leveraging data for strategic business decision-making. This innovative program integrates business acumen with advanced analytics techniques, preparing graduates to navigate the complex landscape of big data. The curriculum emphasizes hands-on experience with industry-leading tools, statistical modeling, and data visualization. Students gain a deep understanding of data-driven decision-making processes, machine learning applications, and business intelligence strategies. With a focus on practical application and real-world scenarios, the program equips graduates to excel in roles that require a blend of business expertise and analytical proficiency, making them valuable assets in today's data-driven business environments.

Curriculum:

  1. AACSB Accreditation: The M.S. in Business Data Analytics program holds accreditation from the Association to Advance Collegiate Schools of Business (AACSB), a testament to LTU's commitment to providing high-quality education in business and data analytics.

  2. Interdisciplinary Curriculum: The program integrates business principles with advanced analytics, offering a well-rounded education that prepares students to bridge the gap between data science and business strategy.

  3. Hands-On Learning: Students engage in hands-on learning experiences, working with real-world datasets and industry-relevant case studies. This practical approach enhances their ability to apply analytics techniques to solve complex business challenges.

  4. Industry-Relevant Tools: The curriculum emphasizes the use of industry-standard tools and technologies, ensuring that graduates are proficient in platforms such as Python, R, SQL, and data visualization tools. This prepares them to navigate the tools commonly used in business analytics roles.

  5. Capstone Projects and Internships: The program incorporates capstone projects and opportunities for internships, providing students with the chance to apply their skills in real business settings. These experiences not only enhance their resumes but also build a bridge between academic learning and practical application.

  6. Expert Faculty: Students benefit from the guidance of experienced faculty with expertise in both business and data analytics. Faculty members bring real-world insights to the classroom, enriching the learning experience and providing mentorship to students.

  7. Networking Opportunities: LTU fosters networking opportunities for students, connecting them with professionals and industry leaders in the data analytics field. Events, workshops, and guest lectures provide a platform for students to build valuable connections for their future careers.

  8. Emphasis on Ethical Considerations: The program instills a strong emphasis on ethical considerations in data analytics. Students explore the ethical implications of data usage, privacy concerns, and responsible decision-making within the context of business analytics.

  9. Customization Options: Students may have the opportunity to tailor their studies through elective courses, allowing them to specialize in areas such as predictive modeling, business intelligence, or specific industry applications based on their career goals.

  10. Career Services: LTU's career services play a crucial role in supporting students' career development. This includes resume workshops, interview preparation, and job placement assistance, helping students transition seamlessly from academia to the professional world.

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Location

Southfield, Michigan

Pollster Education

Score

IELTS: 6.5

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Tuition Fee

USD 25100

Postgraduate Entry Requirements:

Application Fee: US $50.

  1. Academic Qualification: Postgraduate applicants are expected to have a bachelor's degree or its equivalent with a minimum Grade Point Average (GPA) of 2.75 on a 4.0 scale. This ensures that candidates have a solid academic foundation for advanced studies.

  2. English Proficiency Test Requirements:  

    • IELTS (International English Language Testing System): Minimum score of 6.5.
    • TOEFL iBT (Test of English as a Foreign Language Internet-Based Test): Minimum score of 79.
    • DET (Duolingo English Test): Minimum score of 105.

Lawrence Technological University is committed to 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. 

1. 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.

2. 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.

3. 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.

4. 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 commitment to excellence in the business and management fields.

5. Need-Based Financial Aid: In addition to merit-based scholarships, LTU is committed to supporting students with financial need. The university provides need-based financial aid packages, including grants, work-study opportunities, and low-interest loans to help make education more accessible.

6. Community Engagement Scholarships: LTU values community involvement and social responsibility. Scholarships recognizing community service, leadership in civic activities, and a commitment to making a positive impact in society are available for students who actively contribute to their communities.

7. 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.

8. 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.

9. Research and Innovation Scholarships: LTU encourages research and innovation. Scholarships may be available for students engaged in groundbreaking research projects, contributing to the university's reputation as a hub for academic exploration and discovery.

10. 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 Master of Science (M.S.) in Business Data Analytics program at Lawrence Technological University are well-positioned for diverse and high-demand career opportunities at the intersection of business strategy and data science. The program's emphasis on integrating business acumen with advanced analytics techniques equips professionals with a unique skill set sought after by industries undergoing digital transformation. As organizations across industries recognize the transformative potential of data analytics, graduates of LTU's M.S. in Business Data Analytics program are poised to make significant contributions. The program's emphasis on practical skills, industry relevance, and ethical considerations positions professionals to thrive in a variety of roles where data-driven insights are essential for success.

  1. Data Scientist/Analyst: Graduates can pursue roles as data scientists or analysts, responsible for extracting actionable insights from large datasets. They employ statistical techniques, machine learning algorithms, and data visualization tools to inform strategic decision-making.

  2. Business Intelligence Analyst: With a focus on analytics tools and data visualization, graduates are well-suited for roles as business intelligence analysts. They transform complex data into understandable visualizations, aiding organizations in making informed business decisions.

  3. Predictive Modeler: Professionals in this role develop predictive models to forecast trends, identify opportunities, and mitigate risks. They play a crucial role in helping organizations anticipate future scenarios based on historical and real-time data.

  4. Database Administrator: Graduates may explore opportunities as database administrators, overseeing the design, implementation, and maintenance of databases. This role is essential for ensuring the availability and security of data infrastructure.

  5. Market Research Analyst: Leveraging analytical skills, graduates can excel as market research analysts. They analyze market trends, consumer behavior, and competitive landscapes, providing valuable insights to guide marketing and business strategies.

  6. Supply Chain Analyst: With a focus on data-driven decision-making, graduates are well-suited for roles in supply chain analysis. They optimize supply chain processes, enhance efficiency, and contribute to overall operational excellence.

  7. Financial Analyst: Professionals in finance benefit from the program's analytics focus, enabling them to analyze financial data, assess investment opportunities, and provide data-driven insights for strategic financial planning.

  8. Risk Analyst: Graduates can pursue careers as risk analysts, assessing and mitigating potential risks through data analysis. They play a crucial role in helping organizations navigate uncertainties and make informed risk management decisions.

  9. IT Consultant/Specialist: The program's emphasis on technology equips graduates for roles in IT consulting or as specialists in data-related technologies. They assist organizations in implementing and optimizing data analytics solutions.

  10. Business Analytics Manager: With experience, graduates can progress to managerial roles overseeing business analytics teams. They guide strategy, set objectives, and ensure that data analytics initiatives align with organizational goals.

  11. Entrepreneur/Start-up Founder: Armed with a deep understanding of data analytics and business strategy, graduates may choose to venture into entrepreneurship, founding start-ups focused on leveraging data for innovative solutions.

  12. Healthcare Data Analyst: The healthcare sector increasingly relies on data analytics. Graduates can contribute to healthcare organizations by analyzing patient data, optimizing healthcare processes, and supporting evidence-based decision-making.


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