**Offered by**: Faculty of Science

**Coordinator**: Dr. Theodore Kolokolnikov, Mathematics and Statistics (tkolokol@mathstat.dal.ca)

**Eligibility**: Open to Dalhousie undergraduate students

**Overview**: Data Analytics is an interdisciplinary field aimed at extracting knowledge from data of various forms. The techniques of data analytics draw heavily from the fields of statistics, computer science, and mathematics. Students completing the certificate will understand distinctions among data, information and knowledge, will be able to use the Structured Query Language (SQL) to manipulate relational databases, the R programming language to model data using a variety of machine learning and statistical models, and will able to assess the performance of predictive models.

**Admission to Certificate**

To enrol in the *Certificate in Data Analytics*, students must declare the certificate through Dal Online (https://dalonline.dal.ca>Web for Students > Admissions > Declare Major/Minor/Certificate), and notify the Certificate Coordinator by email.

To graduate with the Certificate, students must apply to Graduate with a Certificate at the time they apply to graduate from their degree program.

**Certificate requirements: **

- MATH 1000: Differential and Integral Calculus I (or MATH 1215 or MATH 1280)
- MATH 1030: Matrix Theory and Linear Algebra I
- MATH 2040: Matrix Theory and Linear Algebra II (or MATH 2135)
- STAT 1060: Introduction to Statistics (or STAT 2060)
- STAT 2450: Introduction to Data Mining with R
- CSCI 2202: Computer Modeling for Scientists (or CSCI 1105 or CSCI 1110)
- CSCI 2141: Introduction to Database Systems
- One of
- BIOC 4010: Bioinformatics
- BIOL 4062: Analysis of biological data
- CHEM 4205: Chemometrics
- CSCI 4146: The process of data science
- ECON 4440: Time series analysis in economics
- ENVS 3100: Environmental analytics
- ERTH 4520: GIS applications
- MARI 4600: Ecosystem modelling for aquaculture
- MATH 3330: Applied graph theory
- OCEA 4210/STAT 4390: Time series analysis in oceanography and meteorology
- PHYC 3250: Computational methods in physics
- PHYC 4250: Topics in numerical computing
- STAT 4130: Bayesian data analysis
- STAT 4350: Applied multivariate analysis
- STAT 4550: Longitudinal data analysis
- STAT 4620: Data analysis
- STAT 4100: Survival analysis