What are the admission requirements for MS in Mathematics at Indiana University Indianapolis?

Indiana University Indianapolis offers a four-year, full-time Bachelor of Science in Data Science program. Students pursuing a Bachelor of Science (B.S.) in Data Science degree are prepared for careers in data Science in almost any field imaginable by gaining the knowledge, abilities, and experiences necessary to make informed decisions based on data and to communicate meaning from data sets.
Getting a bachelor's degree in data Science equips students with the analytical, mathematical, and programming abilities required to build and enhance data systems for a variety of businesses. Data Science students can start their careers as researchers, developers, data scientists, and managers.

Students who are willing to join Indiana University Indianapolis must fulfill the basic eligibility including a bachelor’s degree from a recognised university for postgraduates and a high school degree for undergraduates. Also, students must submit the required documents at the time of admission for UG and PG programs. The admission requirements for Indiana University Indianapolis for international students are given below:

Undergraduate Requirements:

• Average high school GPA 3.55 on the 4-point scale
• Official academic records
• ACT/SAT scores
• English language proficiency score

Graduate Requirements:

• GRE/GMAT scores
• English language requirements
• Academic records/transcripts from every college or university attended
• Resume
• Essay
• Recommendations
• CGFNS (Nursing applicants)
• LSAT (Law applicants)

The M.Sc. in Applied Data Science of Indiana University-Purdue University Indianapolis (IUPUI) aims to prepare candidates with the expertise of handling big data set management and valuable insights' derivation. The programme specifically focuses on core competencies such as data analysis, infrastructure, and cloud computing. Skills such as data mining and data visualization will be learned so that students are prepared for the role of a data scientist, data analyst, or analytics manager.

It also allows for specializations like sports analytics, crisis informatics, and user experience design. This allows students to focus education around certain interests or passions. The informatics curriculum includes courses in relational databases, deep learning, and cloud computing.