
University of North Carolina at Charlotte

North Carolina
,United States

Program Name
Master of Science in Data Science and Business Analytics
Overview

The Master of Science in Data Science and Business Analytics program at the University of North Carolina at Charlotte is a comprehensive curriculum specifically designed to empower students with the essential skills and knowledge required to navigate the rapidly evolving landscape of data science and business analytics. This program is structured to cater to both working professionals and recent graduates who aspire to launch or accelerate their careers in business analytics roles. Over the course of 15 months, students will undergo rigorous training that emphasizes a blend of theoretical knowledge and practical application, which is critical for addressing real-world business challenges through data-driven decision-making.
The curriculum is meticulously crafted to cover an array of topics that are pivotal in the domain of data science and business analytics. Core courses include subjects such as Finance, Business Analytics, Accounting Management, Human Resource Management, and Sales and Marketing. Each course is designed to equip students with hands-on experience, allowing for the application of modern data science techniques and machine learning methodologies to solve complex business problems. Furthermore, specific modules on data visualization and statistical analysis will enhance students' abilities to interpret data and communicate insights effectively to business stakeholders.
Students enrolled in this program will benefit from the expertise of distinguished faculty members who are renowned for their contributions to the field of data science and business analytics. The faculty's diverse backgrounds in academia, industry, and research provide students with a rounded approach to learning. In addition to traditional lectures, the teaching methodology prioritizes interactive learning experiences, including group projects, case studies, and industry guest speakers, which foster a collaborative environment and encourage networking opportunities essential for career development.
Research opportunities abound at the University of North Carolina at Charlotte, particularly within the Belk College of Business. Students may engage with ongoing research projects or develop their own research under the guidance of faculty mentors. Access to state-of-the-art resources, including data analytics labs and software tools utilized by industry professionals, ensures that students are well-prepared to enter the workforce. Furthermore, the program emphasizes the importance of staying current with industry trends, thus allowing students to remain competitive in the job market.
The University’s strong connections with various industries enhance internship possibilities and job placements. Collaborations with local businesses and organizations facilitate students' access to internship programs that provide valuable work experience and networking opportunities. Graduates of the program often find themselves in high-demand roles such as Machine Learning Engineer, Data Analyst, Statistician, and Chief Technology Officer. The career outcomes for alumni demonstrate the program's effectiveness, with many graduates reporting successful placements in well-established firms and tech companies.
One of the unique features of the Master of Science in Data Science and Business Analytics at UNC Charlotte is its emphasis on applied learning. Students are encouraged to work on real-world business problems through capstone projects, allowing them to create meaningful solutions that can be presented to actual businesses. This hands-on approach not only strengthens students' resumes but also provides them with practical skills that are highly sought after in today’s job market.
Additionally, the program is committed to inclusivity and diversity, as evidenced by the current international student diversity rate of 6.63%. This global perspective enhances classroom discussions and enriches the learning experience by exposing students to various cultural viewpoints and methodologies in data analysis.
To be eligible for the Master of Science in Data Science and Business Analytics program, applicants are required to submit a completed application along with a non-refundable fee of $75. Proof of English proficiency is necessary for non-native speakers, typically evidenced by scores from recognized tests such as the IELTS (minimum score of 6.5) or the TOEFL (minimum score of 83). While specific GRE requirements are currently unknown, prospective students should be prepared for a competitive admission process that evaluates academic performance, professional experience, and motivation for pursuing this advanced degree.
Why Study Master of Science in Data Science and Business Analytics at the University of North Carolina at Charlotte?
- Comprehensive Curriculum: A rich blend of core business courses and practical analytics training.
- Expert Faculty: Learn from experienced faculty members with industry connections and academic expertise.
- Research Opportunities: Engage in cutting-edge research projects that align with industry needs and trends.
- Internship Connections: Access to numerous internship opportunities through partnerships with local and national businesses.
- Strong Career Outcomes: Graduates are consistently employed in high-demand positions across various sectors.
- Diverse Environment: Experience a culturally rich learning environment with a diverse student population.
In summary, the Master of Science in Data Science and Business Analytics at the UNC Charlotte is an exceptional program that not only prepares students for the workforce but also instills a deep understanding of the transformative power of data in business. With a focus on applied learning, research, and industry connections, graduates emerge as proficient analysts ready to tackle the challenges of the modern business landscape.

Duration
15 Months
Ranking
#219
US World and News Report
Class Profile
Diversity
Others:
3%International:
9%White:
44%Asian:
12%African American:
30%Hispanic:
11%Eligibility Criteria
English Proficiency Tests
IELTS
6.5
TOEFL
83
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 75
Application Deadlines
Fees and Funding

Tuition Fees
$43,982 / year
FAQs
- Admissions Requirements:
To be eligible for the Master of Science in Data Science and Business Analytics program, applicants must meet the following criteria:
- Submit a completed application along with a non-refundable fee of $75.
- Provide proof of English proficiency for non-native speakers, typically evidenced by scores from recognized tests such as the IELTS (minimum score of 6.5) or the TOEFL (minimum score of 83).
- Prepare for a competitive admission process that evaluates academic performance, professional experience, and motivation for pursuing this advanced degree. Specific GRE requirements are currently unknown.
- Program Structure and Duration:
The Master of Science in Data Science and Business Analytics program is structured to be completed in 15 months. This comprehensive curriculum is designed for both working professionals and recent graduates, emphasizing a blend of theoretical knowledge and practical application.
Throughout the program, students will engage in core courses covering essential topics such as:
- Finance
- Business Analytics
- Accounting Management
- Human Resource Management
- Sales and Marketing
Additionally, students will participate in hands-on experiences, including capstone projects focused on real-world business problems.
- Teaching Methods:
The program employs a variety of teaching methods to enhance the learning experience, including:
- Traditional lectures led by expert faculty members.
- Interactive learning experiences such as group projects and case studies.
- Guest speakers from the industry, providing insights and networking opportunities.
This approach fosters a collaborative environment conducive to learning and professional development.
- Career Prospects:
Graduates of the Master of Science in Data Science and Business Analytics program often find themselves in high-demand roles across various sectors. Common career outcomes for alumni include positions such as:
- Machine Learning Engineer
- Data Analyst
- Statistician
- Chief Technology Officer
The program's strong connections with various industries enhance internship possibilities and job placements, ensuring that graduates are well-prepared for the workforce.
- Unique Features of the Program:
The Master of Science in Data Science and Business Analytics program at UNC Charlotte stands out due to its:
- Emphasis on Applied Learning: Students work on real-world business problems through capstone projects, allowing them to create meaningful solutions.
- Research Opportunities: Students can engage with ongoing research projects or develop their own under the guidance of faculty mentors.
- Diversity and Inclusivity: The program has a current international student diversity rate of 6.63%, enriching classroom discussions and learning experiences.
- Resources and Support:
Students in the Master of Science in Data Science and Business Analytics program have access to:
- State-of-the-art resources, including data analytics labs and software tools utilized by industry professionals.
- Research opportunities within the Belk College of Business, allowing students to engage in cutting-edge projects.
- Networking opportunities through internships and collaborations with local businesses and organizations.
These resources ensure that students are well-prepared to meet industry demands.
- Preparation for Industry Trends:
The program emphasizes the importance of staying current with industry trends, equipping students with the knowledge and skills necessary to remain competitive in the job market. This includes:
- Incorporation of modern data science techniques and machine learning methodologies into the curriculum.
- Hands-on experiences that allow students to apply theoretical knowledge to real-world business challenges.
By focusing on practical applications and industry relevance, the program prepares graduates to tackle the challenges of the evolving business landscape.
- Hands-on Experiences:
The Master of Science in Data Science and Business Analytics program includes several hands-on experiences, which are critical for practical learning:
- Capstone projects that allow students to address real-world business problems with data-driven solutions.
- Group projects and case studies that foster collaboration and practical application of learned concepts.
These experiences not only enhance students' resumes but also provide them with practical skills highly sought after in today's job market.
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