Data Science is a professional field that involves the methods, concepts and tools used to make sense out of data that is available in various forms through inquiry and analysis. It is essentially extracting knowledge from data.
Upon completion of this specialisation, students should be able to upload and clean real-world data, make reliable statistical inferences from the cleaned data, use Machine Learning and statistical tools to learn models for data and visualise complex data. This would help students to expand their job prospects as a Data Scientist, Data Engineer, Data Analyst, Data Manager, Data Architect, Business Analyst and more.
This module covers topics such as Introduction to Data Science processes, Basics of Statistical, Exploratory Data Analysis (EDA), Machine Learning Algorithms, Extracting Meaning from Data, Data Visualisation, Graph Processing and Ethical Issues.
This module introduces the knowledge and practical exercise of step-by-step data mining activities involved in various data mining techniques, including clustering, classification, association rule mining, sequential rule mining, anomaly detection and regression analysis, using different types of data.
This modules introduces students to big data technologies, starting with MapReduce as a computational model and an execution framework. Students will work with big data tools like Pig, HIVE, Hbase and Spark to realise how the different tools in Hadoop stack fits into the overall picture of big data analytics.
Information Security Analyst
Information security analysts create systems to protect information networks and websites from cyberattacks and other security breaches. Their responsibilities also include researching trends in data security to anticipate problems and install systems to prevent issues before they occur. Security analysts also need strong problem-solving skills to investigate breaches, determine the causes, and modify or repair security systems.
Software developers create software programs that allow users to perform specific tasks on various devices, such as computers or mobile devices. Software developers must have the technical creativity required to solve problems uniquely. They need to be fluent in computer languages that are used to write the code for programs.
Data analysis is a fast-growing field and skilled analysts are in high demand across all sectors. You will find many opportunities but you will still need to stand out and demonstrate excellent skills in order to succeed in a career as a data analyst. Data analysts identify areas to increase efficiency and automation of processes, mine and analyse large datasets, draw valid inferences and present them successfully to management using a reporting tool. Data analysts who are also skilled at finding and communicating insights can progress to leadership roles.
Applications developers translate software requirements into workable programming code and maintain and develop programs for use in business.
This specialisation is offered as an option as part of the Bachelor's (Hons) in Computer Science. Click below to learn more about the programme.