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MSc. Data Science - 12 months


Course Details

 |  Course code:MSC-DS-12-LSBU
The MSc in Data Science is a comprehensive 12-month program designed to equip students with the skills and knowledge needed to excel in the rapidly growing field of data science. This program covers a wide range of topics including data analysis, machine learning, and data visualization. With a focus on practical applications and real-world projects, graduates will be well-prepared for a successful career in data science. Join us and take the first step towards a rewarding career in this exciting field. About MSc. Data Science - 12 months

Are you looking to advance your career in the field of data science? Consider enrolling in our MSc. Data Science program, designed to equip you with the skills and knowledge needed to excel in this rapidly growing industry. This 12-month course covers a wide range of topics, including data analysis, machine learning, and data visualization.

Our experienced faculty members will guide you through hands-on projects and real-world case studies, allowing you to gain practical experience and build a strong portfolio. By the end of the program, you will be proficient in programming languages such as Python and R, as well as tools like Tableau and Hadoop.

Upon completion of the course, you will be prepared to pursue various career opportunities in data science, including data analyst, data engineer, and machine learning engineer. Join our MSc. Data Science program today and take the first step towards a successful career in this high-demand field.

Who is this course for?:
The MSc. Data Science - 12 months program is designed for individuals who are interested in pursuing a career in the field of data science. This program is ideal for students who have a background in computer science, mathematics, statistics, or a related field, and who are looking to enhance their skills and knowledge in data analysis, machine learning, and data visualization. The target audience for the MSc. Data Science - 12 months program includes: 1. Recent graduates with a degree in computer science, mathematics, statistics, or a related field who are looking to specialize in data science. 2. Working professionals who want to transition into a career in data science or enhance their existing skills in data analysis. 3. Individuals who are interested in leveraging data to drive business decisions and solve complex problems. Below is a table highlighting the key characteristics of the target audience for the MSc. Data Science - 12 months program: | Audience | Description | |----------|-------------| | Recent Graduates | Individuals with a degree in computer science, mathematics, statistics, or a related field looking to specialize in data science. | | Working Professionals | Professionals seeking to transition into a career in data science or enhance their data analysis skills. | | Data Enthusiasts | Individuals interested in using data to drive business decisions and solve complex problems. | By enrolling in the MSc. Data Science - 12 months program, students will gain the necessary skills and knowledge to excel in the field of data science and pursue rewarding career opportunities in industries such as technology, finance, healthcare, and more. Career path:

Career Roles for MSc. Data Science - 12 months

Upon completion of the MSc. Data Science course, graduates can pursue various career roles in the field of data science. Some of the potential career roles include:

Role Average Salary (GBP £) Average Salary (EUR €) Average Salary (USD $)
Data Scientist 50,000 55,000 65,000
Data Analyst 40,000 45,000 55,000
Machine Learning Engineer 55,000 60,000 70,000
Business Intelligence Analyst 45,000 50,000 60,000
Duration

The programme is available in 2 duration modes:

Course delivery: Online Entry requirements:

Course content
Module Description
1. Introduction to Data Science Overview of data science, its importance, and applications in various industries.
2. Data Analysis and Visualization Techniques for analyzing and visualizing data using tools like Python, R, and Tableau.
3. Machine Learning Understanding machine learning algorithms, model building, and evaluation.
4. Big Data Analytics Handling and analyzing large datasets using tools like Hadoop and Spark.
5. Deep Learning Advanced topics in neural networks, deep learning frameworks, and applications.
6. Capstone Project Real-world project to apply data science skills and showcase expertise.

Assessment: Assessment is via assignment submission
Fee structure

Fee payment plans
12 Months programme
● Payment option (a) - GBP £1500 upfront followed by GBP £500 x 5 monthly instalments
● Payment option (b) - GBP £3800 x 1 instalment (We offer 5% discount on total fee for students opting to pay in full)

18 Months programme
● Payment option (a) - GBP £1500 upfront followed by GBP £300 x 10 monthly instalments
● Payment option (b) - GBP £4275 x 1 instalment (We offer 5% discount on total fee for students opting to pay in full)
Accreditation
The programme is delivered via distance learning by faculties from the University. The total credits earned will be at least 120 credits.
Key facts

The MSc. Data Science - 12 months program is designed to provide students with a comprehensive understanding of data science concepts and techniques. Here are some crucial facts about the program: - Duration: 12 months - Program Type: Full-time - Location: On-campus - Accreditation: Accredited by a recognized accreditation body - Curriculum: The curriculum covers a wide range of topics including data analysis, machine learning, data visualization, and big data technologies. - Capstone Project: Students are required to complete a capstone project where they apply their knowledge and skills to solve a real-world data science problem. - Career Opportunities: Graduates of the program can pursue careers as data scientists, data analysts, business intelligence analysts, and more. Below is a table summarizing the key details of the MSc. Data Science - 12 months program:

Duration 12 months
Program Type Full-time
Location On-campus
Accreditation Accredited by a recognized accreditation body
Curriculum Data analysis, machine learning, data visualization, big data technologies
Capstone Project Required
Career Opportunities Data scientist, data analyst, business intelligence analyst


Why this course?

The Master of Science in Data Science program is essential for individuals looking to advance their career in the field of data science. This 12-month program provides students with the necessary skills and knowledge to excel in this rapidly growing industry. Here is a brief overview of the key reasons why pursuing an MSc. Data Science - 12 months is necessary: 1. In-depth knowledge: The program offers a comprehensive curriculum that covers a wide range of topics such as data analysis, machine learning, data visualization, and more. This in-depth knowledge is crucial for individuals looking to succeed in the field of data science. 2. Hands-on experience: Students in the program have the opportunity to gain practical experience through real-world projects and internships. This hands-on experience is invaluable for developing the skills needed to excel in the field. 3. Networking opportunities: The program provides students with the opportunity to connect with industry professionals, alumni, and other students in the field of data science. This networking can lead to valuable connections and potential job opportunities. 4. Career advancement: Graduates of the program are well-equipped to pursue a variety of career paths in data science, including roles such as data scientist, data analyst, and data engineer. The skills and knowledge gained in the program can lead to exciting career opportunities and advancement. To further illustrate the benefits of pursuing an MSc. Data Science - 12 months, here is a comparison table highlighting the key features of the program:

Feature MSc. Data Science - 12 months
Curriculum Comprehensive coverage of data science topics
Hands-on experience Real-world projects and internships
Networking Opportunities to connect with industry professionals
Career paths Data scientist, data analyst, data engineer