Robert Morris University
Pennsylvania
,United States
Program Name
Master of Science in Data Analytics
Overview
Welcome to the Master of Science in Data Analytics program at Robert Morris University. This program is meticulously designed to equip students with advanced skills and knowledge in the rapidly evolving field of data analytics. With a focus on both theoretical frameworks and practical applications, the program prepares graduates to tackle real-world challenges in data-driven decision-making. The curriculum integrates cutting-edge technologies and methodologies, ensuring that students are well-versed in the latest advancements within the domain of data science.
Throughout the 18-month duration of the program, students will engage in a comprehensive curriculum that includes essential courses such as Statistical Methods for Data Science, Data Visualization, Machine Learning, and Big Data Analytics. Each course is structured to provide a blend of foundational theory and hands-on experience, allowing students to apply their learning in a practical context. Moreover, the program emphasizes the importance of ethical considerations in data analysis, preparing students to approach their work with integrity and responsibility.
The faculty at Robert Morris University comprises experienced professionals and scholars who are experts in their respective fields. Their teaching methodology focuses on an interactive and collaborative approach, encouraging students to engage in discussions, group projects, and peer-to-peer learning. Faculty members also offer mentorship opportunities, guiding students through their academic journey and providing invaluable insights into the industry. This supportive environment fosters creativity and innovation, essential qualities for any aspiring data analyst.
Research opportunities abound within the Master of Science in Data Analytics program. Students have access to state-of-the-art facilities and resources, enabling them to conduct meaningful research in various facets of data analytics. These projects not only enhance students' learning experiences but also contribute to the advancement of knowledge in the field. Additionally, the program's connection with various industry partners opens doors for internships and collaborative research projects, further enriching the academic experience.
Upon graduation, students can expect a wide array of career pathways. The demand for skilled data analysts is growing exponentially across numerous sectors, including healthcare, finance, marketing, and technology. Graduates can pursue roles such as Data Scientist, Business Intelligence Analyst, and Machine Learning Engineer. The comprehensive skill set developed through this program ensures that students are highly employable and well-prepared to succeed in their chosen careers. Alumni of the program have gone on to achieve remarkable success, illustrating the effectiveness and quality of the education received at Robert Morris University.
Why Study Data Analytics at Robert Morris University
- A diverse international community: Engage with students from all corners of the globe, enriching your learning experience and expanding your professional network.
- Expert faculty: Learn from highly qualified professors who bring real-world experience and academic rigor to the classroom.
- Advanced research facilities: Utilize high-end labs and resources to conduct state-of-the-art research, enhancing your practical skills in data analytics.
- Strong emphasis on internships: Benefit from robust industry connections that provide students with internship opportunities to gain hands-on experience.
- Successful alumni network: Join a network of accomplished graduates who are making significant contributions to various industries.
To ensure a smooth admission process, potential applicants should be aware of the program requirements. A bachelor's degree in a related field is typically required, along with a minimum GPA. Moreover, proficiency in English is crucial for success in this program. Applicants must submit standardized English language test scores, such as:
- IELTS: Minimum score of 7.0, total score of 9.0.
- PTE: Minimum score of 53, total score of 90.0.
- TOEFL: Minimum score of 79, total score of 120.0.
In addition to language proficiency, prospective students are required to pay an application fee of $35 when submitting their application. It is advisable to apply early, as the program is highly competitive with limited spots available. The robust curriculum, combined with exceptional faculty support and extensive industry connections, makes the Master of Science in Data Analytics at Robert Morris University a compelling choice for students looking to excel in the growing field of data analytics. Join us and take the first step towards a successful career in this dynamic and rewarding area.
Duration
18 Months
Ranking
#194
US World and News Report
Class Profile
Diversity
Others:
10%International:
10%White:
55%Hispanic:
10%Asian:
10%African American:
15%Eligibility Criteria
English Proficiency Tests
IELTS
7
PTE
53
TOEFL
79
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: 35
Application Deadlines
Fees and Funding
Tuition Fees
$20,600 / year
FAQs
To apply for the Master of Science in Data Analytics program, prospective students must meet the following admissions requirements:
- A bachelor's degree in a related field.
- A minimum GPA (exact value not specified in the description).
- Proficiency in English, which must be demonstrated through standardized test scores as follows:
- IELTS: Minimum score of 7.0, total score of 9.0.
- PTE: Minimum score of 53, total score of 90.0.
- TOEFL: Minimum score of 79, total score of 120.0.
Additionally, applicants are required to pay an application fee of $35. It is advisable to apply early due to the program's competitive nature and limited spots available.
The Master of Science in Data Analytics program is structured to be completed over a duration of 18 months. The curriculum includes essential courses that cover both theoretical frameworks and practical applications in data analytics. Key courses in the program include:
- Statistical Methods for Data Science
- Data Visualization
- Machine Learning
- Big Data Analytics
Each course is designed to provide a blend of foundational theory and hands-on experience, enabling students to apply their learning in practical contexts. The program also emphasizes ethical considerations in data analysis, preparing students to approach their work responsibly.
The faculty at Robert Morris University utilize an interactive and collaborative teaching methodology. This approach encourages students to engage actively in:
- Discussions
- Group projects
- Peer-to-peer learning
Additionally, faculty members provide mentorship opportunities, guiding students through their academic journey and offering valuable insights into the industry. This supportive environment is designed to foster creativity and innovation in aspiring data analysts.
Graduates of the Master of Science in Data Analytics program can anticipate a wide array of career opportunities across various sectors. The demand for skilled data analysts is increasing, and graduates may pursue roles such as:
- Data Scientist
- Business Intelligence Analyst
- Machine Learning Engineer
The comprehensive skill set developed through this program ensures that students are highly employable and well-prepared to succeed in their chosen careers. The success of program alumni in various industries further illustrates the effectiveness and quality of the education received.
Studying Data Analytics at Robert Morris University offers several significant highlights, including:
- A diverse international community: Engage with students from around the world, enriching your learning experience and expanding your professional network.
- Expert faculty: Learn from highly qualified professors with real-world experience and academic rigor.
- Advanced research facilities: Access high-end labs and resources for conducting state-of-the-art research.
- Strong emphasis on internships: Leverage robust industry connections to gain hands-on experience through internships.
- Successful alumni network: Join a network of accomplished graduates making significant contributions across various industries.
The Master of Science in Data Analytics program provides numerous research opportunities for students. They have access to:
- State-of-the-art facilities and resources
- Collaborative research projects with various industry partners
These research projects not only enhance students' learning experiences but also contribute to advancing knowledge in the field of data analytics. Such opportunities help students apply their theoretical knowledge in practical settings.
The program places a strong emphasis on the importance of ethical considerations in data analysis. Throughout the curriculum, students learn to approach their work with integrity and responsibility. This focus on ethics is integrated into the coursework, ensuring that graduates are not only skilled analysts but also conscientious professionals who understand the implications of their work in data-driven decision-making.
It is advisable for prospective students to apply early to the Master of Science in Data Analytics program due to its highly competitive nature and the limited number of spots available. Applying early increases the chances of securing a place in the program, ensuring that students do not miss out on this valuable opportunity to advance their education and careers in the growing field of data analytics.
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